Figure 03 vs Boston Dynamics Atlas: Full Comparison

Figure 03 and Boston Dynamics Atlas are two of the most advanced humanoid robots announced for real-world work, but they are designed around very different priorities.

Figure 03 is a lighter, general-purpose humanoid built around Figure’s Helix 02 vision-language-action system, five-finger tactile manipulation, natural interaction, wireless charging and eventual operation across homes and workplaces. The product-version Atlas is a heavier enterprise humanoid engineered for demanding industrial material handling, with a 30 kg sustained carrying capacity, 50 kg instantaneous capacity, 2.3 m reach, IP67 protection, autonomous battery swapping and Boston Dynamics’ Orbit fleet platform.

The clearest 2026 verdict is therefore not that one robot is universally better. Boston Dynamics Atlas is the stronger choice for industrial buyers prioritising heavy payloads, ruggedness, safety disclosure, serviceability and enterprise integration. Figure 03 is the stronger platform for general-purpose autonomy, fine tactile manipulation, conversational task instruction, home-oriented design and demonstrated manufacturing scale.

Quick verdict: Choose Atlas for demanding factory or warehouse work where payload, reach, environmental protection, continuous operation and integration with MES or WMS systems matter most. Follow Figure 03 for highly dexterous, language-directed work across less structured environments, especially household tasks and flexible manipulation. Neither robot has a public list price or a normal online ordering programme, and both remain restricted to selected commercial or development partners.

Anton Robots maintains detailed profiles for Figure 03 and Boston Dynamics Atlas. You can also compare Figure 03 and Boston Dynamics Atlas side by side with both robots already selected in the marketplace comparison tool.

Last reviewed: 17 July 2026. This comparison separates current product specifications, manufacturer-reported demonstrations, customer deployments, manufacturing evidence and future plans. Pricing, availability, capabilities and deployment schedules may change as both programmes develop.

Figure 03 vs Boston Dynamics Atlas at a Glance

What Are We Actually Comparing?

This comparison is not between the Figure 03 shown today and the old hydraulic Atlas seen doing parkour, backflips and research demonstrations. It compares Figure’s third-generation production platform with Boston Dynamics’ current product-version, fully electric Atlas.

That distinction matters because the Atlas name covers several technically different robots. The hydraulic Atlas was a research platform built to advance dynamic locomotion and whole-body control. Boston Dynamics retired that machine in 2024 and introduced a new electric architecture. The company then unveiled the enterprise product version in January 2026 with a published specification sheet, safety features, serviceability design, Orbit integration and a commercial deployment roadmap.

Figure 03 also needs generational clarity. Figure 02 completed a significant deployment at BMW, but Figure retired that generation after introducing Figure 03. The current robot uses different hands, sensors, battery, actuators, manufacturing methods and software. Figure 02’s 90,000 parts loaded and 1,250 hours of operation are valuable evidence behind Figure 03’s design, but they are not Figure 03 performance statistics.

Which Figure 03?

Figure introduced Figure 03 in October 2025 as its third-generation humanoid and the first Figure robot designed from the beginning for Helix, household use and high-volume manufacturing. Its public product specification lists a height of 5 ft 8 in, weight of 61 kg, payload of 20 kg, runtime of five hours and speed of 1.2 m/s.

The robot uses a redesigned vision system, palm cameras, tactile fingertips, compliant five-finger hands, natural-language interaction, a 2.3 kWh battery and wireless inductive charging. In January 2026, Figure introduced Helix 02, which controls the complete body from onboard perception rather than limiting the learned policy to stationary upper-body manipulation.

Figure has manufactured more than 350 third-generation robots and demonstrated a one-unit-per-hour production cycle at BotQ. It has also announced a commercial agreement with Catalyst Brands and shown Figure 03 completing a manufacturing logistics workflow at BMW. Those facts make Figure 03 more than a one-off laboratory prototype, but it is still not a generally orderable consumer or enterprise product with public commercial terms.

Which Boston Dynamics Atlas?

The current Atlas is Boston Dynamics’ product-version electric industrial humanoid, unveiled at CES 2026. It is 1.9 m tall, weighs 90 kg, has 56 degrees of freedom, reaches up to 2.3 m and carries 30 kg continuously, 50 kg instantaneously or 20 kg in one hand.

Its commercial design includes a four-hour reference battery, autonomous battery exchange, tactile hands, 360-degree perception, human detection, fenceless guarding, IP67 protection, three operating modes and integration with Boston Dynamics’ Orbit platform. It is designed for part sequencing, machine tending, order fulfilment and other physically demanding workflows.

Boston Dynamics said all Atlas deployments for 2026 were already committed, with fleets scheduled for Hyundai’s Robotics Metaplant Application Center and Google DeepMind. The company expects to engage additional customers, but Atlas remains a selected early-adopter product rather than a standard robot available to any buyer.

The central rule of this comparison is simple: current Figure 03 evidence is compared with the product-version electric Atlas. Figure 02 deployment results and hydraulic Atlas research achievements are treated as development history, not current product specifications.

How We Compared Figure 03 and Boston Dynamics Atlas

This comparison prioritises current manufacturer product pages, official specification sheets, customer and partner announcements, deployment reports and direct technical explanations. Missing information is left as not publicly specified rather than filled with estimates from comparison sites, social posts or earlier robot generations.

Every important statement is treated as one of five evidence types:

• Published specification: a current number or capability stated in the official product documentation.
• Commercial evidence: a deployment, paid agreement, production commitment or customer workflow.
• Demonstrated capability: a task shown under manufacturer-controlled conditions without assuming guaranteed customer performance.
• Development evidence: results from an earlier generation that informed the current robot but should not be transferred directly.
• Company plan: a future manufacturing, deployment, safety, intelligence or market objective.

The article gives more weight to repeatable work, integration and operational readiness than to a single impressive movement. For an industrial buyer, the decisive measures are successful cycles, intervention rate, throughput, uptime, charging availability, recovery procedures, safety validation, support and total installed cost. For a home robot, the standard is even higher because the environment contains children, pets, liquids, fragile objects, private data and constantly changing layouts.

Which Is Better: Figure 03 or Boston Dynamics Atlas?

Boston Dynamics Atlas is the better robot for demanding industrial deployment in 2026. Figure 03 is the better robot for general-purpose dexterity, household-oriented autonomy and large-scale physical-AI development.

Atlas has the more complete buyer-facing industrial package. Boston Dynamics publishes sustained and instantaneous carrying limits, one-handed capacity, reach, battery behaviour, battery-swap time, operating temperature, IP rating, safety architecture, control modes, workflow integrations and serviceability features. Orbit gives a prospective enterprise buyer a defined path to connect Atlas with production systems and manage a fleet.

Figure 03’s advantage is breadth. Helix 02 has been shown controlling locomotion and manipulation as one continuous learned system, completing multi-minute household tasks from onboard sensors, responding to natural-language goals, coordinating two robots and using tactile sensing for delicate manipulation. The robot is also smaller, lighter, faster on its published specification, runs for longer on one battery and is explicitly designed for environments beyond the factory.

Figure has disclosed stronger current manufacturing output. More than 350 Figure 03 units and a demonstrated one-robot-per-hour production cycle are meaningful because reliability, data collection and service operations improve only when a company runs a real fleet. Boston Dynamics has started manufacturing product-version Atlas robots and has strong support from Hyundai, but it has not published an equivalent unit count or production rate.

The limitation on both sides is availability. Figure does not publish a standard order process, home reservation, delivery date or price. Boston Dynamics has a sales conversation and defined early-adopter pathway, but its 2026 deployments are committed and the robot is not broadly available.

Overall 2026 verdict: Atlas wins for industrial procurement readiness. Figure 03 wins for general-purpose AI, fine manipulation and manufacturing-scale evidence. There is no honest universal winner without defining the task.

Price and Availability

How much does Figure 03 cost?

Figure has not published a purchase price, subscription fee, lease, deposit, household reservation price or standard enterprise contract for Figure 03. The company says the robot was redesigned to reduce manufacturing cost and has reported major cost reductions in components such as the battery, but manufacturing cost is not the same as a customer price.

A usable Figure 03 deployment would need more than the base robot. Commercial terms would need to define Helix access, charging equipment, connectivity, software updates, data handling, task training, remote assistance, on-site commissioning, warranty, replacement parts and field service. None of those items has a public standard price.

The robot is therefore not a conventional product that a household or small business can order. Access is controlled through Figure’s internal fleet, data programmes and selected commercial partnerships.

How much does Boston Dynamics Atlas cost?

Boston Dynamics has not published an Atlas list price, rental rate, Robots-as-a-Service fee or standard support package. The company invites qualified businesses to discuss applications, but that is an enterprise evaluation process rather than a public price catalogue.

Atlas’ total cost would likely include the robot, battery station and spare batteries, Orbit software, application development, end-of-arm tooling, barcode or RFID integration, site assessment, training, safety validation, support and maintenance. The specification sheet makes the product easier to engineer into a business case, but it does not make the cost public.

Atlas is also capacity constrained. Boston Dynamics stated that its 2026 deployments were already fully committed. A new customer can begin the evaluation process, but should not assume a 2026 delivery.

Price and availability winner

There is no price winner and no open-market availability winner. Atlas has the clearer enterprise sales pathway, while Figure 03 has stronger published production-volume evidence. Neither can currently be compared using a normal quote for an off-the-shelf robot delivered under standard commercial terms.

Any website presenting a confirmed Figure 03 or Atlas retail price should be treated cautiously unless the amount comes with a current manufacturer quotation, exact configuration, delivery region, warranty and support scope.

Commercial Deployment and Real-World Proof

The commercial evidence is more balanced than it first appears, but it must be assigned to the correct robot generation.

Figure’s strongest long-duration deployment result belongs to Figure 02. That robot worked at BMW Group Plant Spartanburg for 11 months, loaded more than 90,000 parts, ran for more than 1,250 hours and contributed to the production of more than 30,000 vehicles. Figure says the deployment exposed failure points and directly informed Figure 03’s wrist electronics, reliability, calibration and manufacturing design.

For Figure 03 itself, the current evidence includes a commercial agreement with Catalyst Brands for distribution and logistics work, a logistics demonstration at BMW involving part handling and pulling a heavy cart, and deployment of a larger fleet across internal development, data collection, household-task work and commercial application development. Figure has not yet published a Figure 03 customer report with throughput, uptime, successful shifts or intervention statistics equivalent to its Figure 02 BMW summary.

Atlas has completed customer field testing with Hyundai on part-sequencing applications, and Boston Dynamics has described Hyundai as its first customer. Product-version fleets were scheduled for Hyundai and Google DeepMind during 2026. The company has also demonstrated autonomous engine-cover sequencing, heavy-object handling and learned recovery behaviours.

Atlas does not yet have a published customer case study showing cumulative production hours, parts moved, shift-level success or independently validated ROI. Its 2026 commercial position is stronger than a laboratory prototype because the product version is specified, manufactured and committed to named partners, but field evidence remains early.

Commercial proof verdict: Figure has the stronger historical production-line evidence through Figure 02 and the stronger published manufacturing fleet. Atlas has the clearer current industrial product package and committed enterprise deployment programme. Neither has yet published enough current-generation customer data to prove broad repeatability across multiple sites.

Use Cases: What Work Can Each Robot Actually Do?

Figure 03 use cases

Figure 03 is designed around the idea that a single humanoid should learn many tasks across homes and workplaces. Its public demonstrations and announced programmes cover:

• Loading and unloading a dishwasher
• Cleaning and resetting living rooms and bedrooms
• Handling laundry, clothing, books, dishes and household objects
• Following natural-language task instructions
• Coordinating with another humanoid on shared work
• Picking thin sheet-metal components and placing them into industrial fixtures
• Manipulating deformable bags and varied logistics packages
• Pulling carts while coordinating hands, torso and foot placement
• Distribution and logistics work under selected commercial agreements
• Collecting embodied data for Helix training

These demonstrations show impressive breadth, but they do not create a guaranteed catalogue of household services. A four-minute autonomous dishwasher sequence proves a long-horizon behaviour under the demonstrated conditions; it does not prove that the robot can handle every kitchen, dish, spill, obstruction or unexpected person without intervention.

Figure 03 is most compelling when the task requires fine manipulation, language understanding and adaptation to object variation. It is less compelling when the application needs a published industrial environmental rating, high sustained payload or a complete enterprise integration package today.

Boston Dynamics Atlas use cases

Atlas is positioned more narrowly and more commercially around physical work. Boston Dynamics identifies applications including:

• Automotive part sequencing
• Moving components between supplier containers and mobile sequencing dollies
• Machine tending
• Order fulfilment and order building
• Heavy material movement
• Handling work that requires repeated squatting, lifting, twisting and reaching
• Barcode- and RFID-connected industrial workflows
• Work in colder, hotter, wet or dirty environments within its published limits
• Tasks requiring continuous operation through autonomous battery exchange

Atlas’ value proposition is not that it imitates a person perfectly. Its continuous joints and unusually broad range of motion allow it to reposition without the same anatomical constraints as a human. That can reduce unnecessary footsteps and enable the robot to approach shelves, bins and machines from more efficient orientations.

Atlas is not yet proven as a general household assistant, healthcare worker or unrestricted construction robot. Boston Dynamics describes broader long-term potential, but the current commercial offer begins with factory and warehouse applications.

Use-case verdict: Figure 03 is better for varied, dexterous and language-directed tasks. Atlas is better for heavy, structured industrial work with clear integration and duty-cycle requirements.

Size, Weight and Workplace Fit

Figure 03 is 1.73 m tall and weighs 61 kg. It is therefore 17 cm shorter and 29 kg lighter than Atlas. Those differences are operationally significant.

Lower mass can reduce floor loading, transport difficulty, stored kinetic energy and the consequences of a fall or collision. Figure’s softer exterior, washable textiles and compact form are also more compatible with household corridors, doors, furniture and close interaction. The robot is close to average human height and can use common counters, shelves and appliances.

Atlas is 1.9 m tall and weighs 90 kg. Its larger body supports greater payload, reach and whole-body strength. A 2.3 m reach lets it work at floor level, human workstations and high storage positions without a separate lift mechanism. Continuous joints also allow Atlas to rotate and reconfigure its body in ways that may reduce the space needed for turning.

The trade-off is risk and site planning. A 90 kg robot carrying 30 kg repeatedly requires careful analysis of floors, fall zones, emergency stops, human traffic, load retention and recovery. Atlas’ fenceless guarding and human detection are important, but they do not remove the need for a complete application risk assessment.

Workplace-fit verdict: Figure 03 is better for homes and space-constrained human environments. Atlas is better where reach, strength and industrial durability outweigh the disadvantages of a larger, heavier robot.

Payload, Strength and Material Handling

This is the clearest technical victory in the comparison.

Figure publishes a 20 kg payload for Figure 03. The company does not publicly break that number into sustained, instantaneous, one-handed, extended-reach or dynamic carrying limits. Buyers should not assume the robot can hold 20 kg in every posture, at full arm extension or throughout a five-hour shift.

Atlas publishes three more useful ratings: 50 kg instantaneous capacity, 30 kg sustained capacity and 20 kg one-handed capacity. Its specification also gives a 2.3 m reach and a two-hour battery reference during heavy lifting. These figures let an application engineer model repeated loads more realistically.

Atlas’ heavy-work demonstrations use the complete body rather than treating payload as an arm-only problem. The robot squats, rotates its torso, changes stance and supports large objects against its body. This is closer to how people safely manage awkward loads and can expand the range of shapes a robot can handle.

Figure 03 is likely better with smaller, fragile or irregular items because its hands and Helix system emphasise tactile finesse. Atlas is clearly better for large components, repeated heavy lifting and physically demanding material movement.

Payload and strength winner: Boston Dynamics Atlas.

Walking, Mobility and Whole-Body Control

Both robots demonstrate advanced bipedal movement, but their mobility strategies reflect different product goals.

Figure publishes a top speed of 1.2 m/s. Helix 02 connects visual perception, tactile information, proprioception and the complete body so that the robot can walk while manipulating rather than switching between isolated walking and arm-control systems. Figure has shown this architecture during household navigation, multi-room tasks and industrial cart handling.

Figure’s natural-looking movement is not merely visual polish. Training a whole-body controller on human motion and reinforcement learning can produce smoother transitions between reaching, stepping, bending and recovering. This is useful in homes, where the robot must adjust continuously around furniture and objects rather than repeat one optimised path.

Atlas has 56 degrees of freedom, continuous range of motion in major joints and a long history of whole-body control research behind the current product. Its design can rotate the torso and limbs beyond human anatomical limits, allowing the robot to work facing one direction while repositioning loads behind or beside itself. Boston Dynamics’ demonstrations also show substantial dynamic strength and balance under heavy loads.

A direct speed comparison is impossible because Boston Dynamics does not publish a current Atlas walking speed. Figure does not publish a complete slope, stair, floor-gap or stability envelope. Videos cannot replace those specifications.

Mobility verdict: Atlas leads in range of motion, industrial whole-body strength and published DoF. Figure 03 leads in published speed and public demonstrations of unified general-purpose loco-manipulation. Neither company provides enough directly comparable mobility testing for an absolute winner.

Hands, Grippers and Dexterity

Figure 03 has one of the strongest fine-manipulation packages publicly demonstrated on a humanoid robot. Each hand includes an embedded palm camera for close-range vision when the head cameras are blocked. Compliant fingertips increase contact area, while tactile sensors detect very small forces and help the system recognise grip, slip and contact changes.

Helix 02 uses these inputs for tasks such as unscrewing caps, handling small objects, working with dishes and manipulating items hidden from the main camera. The five-finger design also maps naturally to tools, handles and objects made for human hands.

Atlas also has tactile fingers and palms, and its product imagery shows multi-finger industrial hands. Its manipulation advantage is physical authority. The robot is designed to hold 20 kg in one hand, manage 30 kg repeatedly and use its complete body to stabilise heavy or awkward objects. Boston Dynamics has shown specialised grasping policies, continuous object-state estimation and learned recovery after an object shifts or falls.

The correct distinction is therefore not “real hands versus grippers”. Both robots have dexterous end effectors. Figure 03 is optimised more visibly for delicate, high-variation manipulation; Atlas is engineered for high-force industrial handling and broad reach.

Hands verdict: Figure 03 wins fine tactile dexterity and in-hand perception. Atlas wins heavy-duty manipulation. The better hand depends on whether the task is handling a pill, dish or deformable package, or repeatedly moving a heavy automotive component.

Perception and Sensors

Figure 03’s sensory architecture is tightly coupled to Helix. The robot receives input from head cameras, palm cameras, fingertip tactile sensors and full-body proprioception. Its redesigned camera system delivers higher frame rate, lower latency and wider field of view than Figure 02, while the palm cameras preserve visual feedback during occluded grasps.

The robot also supports 10 Gbps millimetre-wave data offload. That feature is not a direct autonomy capability, but it matters for fleet learning because large volumes of sensor data can be transferred when a robot returns to its dock.

Atlas provides a 360-degree camera view, tactile fingers and palms, and an onboard system for detecting people in industrial spaces. Boston Dynamics does not publish every camera, force sensor or perception component, but the product documentation connects perception directly to fenceless guarding, task autonomy and workflow integration.

A sensor count would be a poor way to choose between them. The important measures are detection reliability, latency, occlusion recovery, operation under difficult lighting, calibration stability, false stops and failure behaviour. Neither manufacturer publishes a standard benchmark across those conditions.

Perception verdict: Figure 03 has the richer public description of in-hand sensing and fine manipulation. Atlas has the clearer safety and industrial-operating context. No independent benchmark proves that one perceives the world better overall.

AI, Autonomy and Task Learning

Figure’s central advantage is that Helix 02 is presented as a single hierarchy connecting language, scene understanding, whole-body vision and low-level control. Its fast visuomotor layer controls the complete robot at high frequency, while a higher-level system interprets goals such as unloading a dishwasher or tidying a room.

The public demonstrations are important because they are not limited to one pick-and-place cycle. Figure has shown continuous multi-minute tasks, object variation, navigation between work points, tactile manipulation, interaction with doors and drawers, and two robots collaborating under one learned policy. Figure states that the showcased Helix 02 tasks are autonomous rather than teleoperated.

Atlas combines Boston Dynamics’ model-based control, reinforcement learning, teleoperated demonstration data and large behaviour models. The current robot can run autonomously, through VR teleoperation or through a tablet. Boston Dynamics has demonstrated language-conditioned policies, recovery from disturbances and rapid transfer of a learned skill across the fleet.

The Google DeepMind partnership may expand Atlas with Gemini Robotics foundation models, but it should be described as active joint research rather than a finished customer capability. Similarly, Figure’s broad home vision does not prove unrestricted general intelligence.

Figure publishes no universal task-success rate, intervention frequency or generalisation benchmark. Boston Dynamics publishes no comparable cross-task autonomy score. Both companies selectively show successful demonstrations.

AI verdict: Figure 03 leads on current public evidence of long-horizon, language-directed, whole-body generalist autonomy. Atlas combines strong AI with a more engineered industrial deployment stack, but its generalist foundation-model programme is earlier in public evidence.

Battery Life, Charging and Continuous Operation

Figure 03 uses a 2.3 kWh battery and publishes five hours of runtime. It can charge wirelessly at 2 kW by stepping onto an inductive stand, removing the need for a cable or manual connector. Opportunity charging can extend useful coverage when the robot naturally pauses during a workflow.

The limitation is that Figure does not publish the time required to restore a given percentage of battery, the duty cycle used for the five-hour figure or performance under continuous high-payload work. Five hours of reference runtime does not guarantee five hours of uninterrupted productive work.

Atlas publishes four hours in normal operation and two hours under heavy lifting. Its defining advantage is autonomous battery exchange: the robot returns to the station and swaps its own battery in approximately three minutes. The battery can then recharge outside the robot, allowing the robot to return to work quickly.

This is a better architecture for a 24/7 industrial fleet, provided the site has enough charged batteries and swap stations. It also avoids holding the robot idle during a full recharge.

Battery verdict: Figure 03 wins for maximum published runtime and simple wireless opportunity charging. Atlas wins for near-continuous industrial operation through autonomous battery swapping.

Safety Around People

Both robots are heavy powered machines and neither should be considered safe merely because it has a humanoid shape or smooth movements.

Figure 03 includes multi-density foam near pinch areas, a textile exterior, less mass and less volume than Figure 02, washable soft goods and a battery with multiple protective layers. Figure also states that the battery has achieved UN38.3 certification. These choices are relevant to home-oriented design, but they do not constitute a complete published safety case for operation around children, pets or untrained users.

Figure has not publicly specified collaborative speed-and-force limits, protective-stop distances, functional-safety architecture, fall-zone controls, emergency-stop system, load-retention behaviour or certification for the complete robot. A household deployment would also need privacy, remote-access and cybersecurity controls.

Atlas has the stronger public safety disclosure. Boston Dynamics describes onboard human detection, fenceless guarding, padding and reduced pinch points. The robot pauses when a person enters its protected area, and the specification sheet identifies human detection as part of the safety system. Atlas also carries CE marking in the published specification sheet.

Fenceless does not mean risk-free or unrestricted. A final deployment still needs task-specific validation covering robot speed, carried loads, human traffic, falling objects, recovery, maintenance and local machinery law.

Safety winner: Boston Dynamics Atlas for published system-level safeguards and industrial deployment clarity. Figure 03’s softer design and battery work are valuable, but complete human-collaboration limits remain insufficiently public.

Environmental Protection and Durability

Atlas is built for a wider published environmental range. Its IP67 rating indicates protection against dust and temporary water immersion under the test conditions of the rating. Boston Dynamics also specifies operation from -20°C to 40°C, making Atlas relevant to cold storage, unconditioned industrial spaces and demanding cleaning regimes, subject to application validation.

Figure 03 does not have a public IP rating or operating-temperature range. Its removable textiles can be washed separately, but that does not mean the robot itself can be sprayed, exposed to liquids or used outdoors. Its strongest public design context is indoor homes and workplaces.

Durability also includes impact, wear, connectors, cabling, fingertip life and repair time. Figure says every production robot undergoes more than 80 functional verification tests and extensive burn-in cycles. Boston Dynamics emphasises fewer motors, modular components, field replacement and service access.

Environmental winner: Atlas. Figure 03 may prove durable in controlled indoor environments, but buyers should not infer industrial ingress protection from its exterior design.

Software, Fleet Management and Enterprise Integration

Figure’s public software story is dominated by Helix, which is the robot intelligence system rather than an enterprise operations platform. Figure has built internal manufacturing, diagnostics, data and field-service systems, but it has not publicly detailed a customer dashboard equivalent to Orbit or a standard API for connecting Figure 03 fleets with warehouse and manufacturing systems.

Atlas integrates with Boston Dynamics Orbit. The company positions Orbit as the central system for monitoring work and performance, reviewing fleet metrics and connecting Atlas with MES, WMS and other systems of record. Barcode scanning and RFID are identified as supported workflow integrations.

That difference matters. A robot may complete a physical action autonomously but still fail as an automation product if it cannot receive the correct order, confirm inventory, report exceptions, coordinate with upstream equipment or generate production data.

Figure may provide these capabilities under specific customer agreements, but they are not described as a standard public product. Atlas gives operations and IT teams a clearer architecture to evaluate.

Enterprise software winner: Boston Dynamics Atlas.

Control Modes, SDK, ROS and Developer Access

Atlas supports three published operating modes: autonomous operation, VR teleoperation and tablet control. These are useful for setup, behaviour demonstration, remote recovery and supervised work. Boston Dynamics also has an established developer ecosystem for Spot, but that does not mean Atlas currently includes an open public SDK with the same access.

Figure has extensive internal teleoperation, data collection and task-training infrastructure, and Helix responds to natural-language goals. However, Figure does not advertise Figure 03 as an open ROS 2 robot, a university development kit or a low-level joint-control platform.

Neither company publishes a general customer ROS package, open simulator, unrestricted model weights or public low-level API for the current humanoid. Enterprise customers may receive integration interfaces under contract, but that is different from open developer access.

Developer verdict: no winner. Teams that need open ROS 2 control, simulation assets or hardware experimentation should evaluate research-focused humanoids rather than assume Figure 03 or Atlas provides unrestricted access.

Production Scale: Figure BotQ vs Atlas and Hyundai

Figure has the strongest current manufacturing numbers in the humanoid industry. By April 2026, it reported more than 350 Figure 03 robots produced and a demonstrated assembly cycle of one robot per hour. BotQ’s first-generation line is designed for up to 12,000 robots per year, with a company goal of producing 100,000 over four years.

The manufacturing report adds useful operational detail: more than 9,000 actuators produced, more than 500 battery packs shipped internally, over 150 connected manufacturing workstations, more than 50 in-process inspections and more than 80 functional checks per robot. These are manufacturer-reported figures, but they show a real transition from prototype building to fleet production.

Boston Dynamics began manufacturing product-version Atlas at its Boston headquarters in January 2026. Hyundai plans broader robotics manufacturing expansion and a factory capable of producing thousands of robots annually. Hyundai has also announced plans to purchase tens of thousands of robots across its wider robotics strategy, but that figure should not be presented as a confirmed Atlas order.

Boston Dynamics has not disclosed how many product-version Atlas units have been completed or its current Atlas cycle time. Its strength is the manufacturing expertise and capital of Hyundai Motor Group, plus Boston Dynamics’ experience deploying more than 2,000 Spot and Stretch robots.

Production winner in 2026: Figure 03 on disclosed current output and production-rate evidence. Atlas has a credible industrial scaling path, but public output data is not yet comparable.

Reliability, Service and Operational Support

Figure says the scale of its fleet has exposed failures that would remain invisible in a small prototype programme. It has introduced automated diagnostics, software fallback ladders and an internal Field Service Management system. The BMW experience with Figure 02 also led to specific Figure 03 hardware changes intended to improve wrist reliability and thermal management.

Those are valuable signs of maturation, but Figure has not published customer-level figures for mean time between failures, mean time to repair, intervention frequency, spare-parts lead times or support response.

Atlas is designed around modular and field-replaceable components. Boston Dynamics says limbs can be replaced quickly in the field and plans certification paths that allow customer maintenance teams to perform repairs. The company also brings an established support organisation from Spot and Stretch deployments.

Atlas likewise lacks a public current-generation reliability dataset. Product design for serviceability does not prove uptime until fleets accumulate hours under customer conditions.

Support verdict: Atlas leads on publicly described serviceability and an established enterprise support background. Figure leads on disclosed manufacturing-fleet learning. Exact uptime and service performance must be verified contractually for both.

Best Robot by Use Case

Before choosing either platform, explore all humanoid robots, compare relevant industrial robots, review material handling robots and consider whether an AMR, cobot, industrial arm or purpose-built automation cell could deliver lower cost and risk.

Figure 03 Pros and Cons

Pros

• General-purpose design spanning homes and workplaces
• Helix 02 full-body vision-language-action architecture
• Strong public demonstrations of autonomous long-horizon tasks
• Five-finger hands with palm cameras and tactile fingertips
• Natural-language task interaction
• 61 kg weight is relatively low for a full-size humanoid
• Published five-hour runtime
• Published 1.2 m/s speed
• Autonomous 2 kW wireless inductive charging
• Soft textiles, foam and reduced pinch exposure for human environments
• 10 Gbps wireless data offload for fleet learning
• More than 350 third-generation robots produced
• One-robot-per-hour production cycle demonstrated at BotQ
• Commercial agreement with Catalyst Brands
• Current-generation manufacturing demonstration at BMW
• Figure 02’s production experience has informed Figure 03 reliability design

Cons

• No public purchase price or subscription rate
• No normal consumer or general enterprise ordering programme
• No public delivery schedule for households
• No published complete robot DoF count
• No published reach specification
• No public IP rating or operating-temperature range
• No complete public collaborative-safety specification
• No customer fleet platform equivalent to Orbit has been publicly detailed
• No public low-level SDK, ROS package or simulator
• 20 kg payload is lower than Atlas’ sustained and instantaneous capacities
• Wireless charging may create more idle time than a battery-swap system
• Current Figure 03 customer throughput and uptime data remain limited
• Most household evidence comes from manufacturer-controlled demonstrations
• Figure 02 deployment statistics cannot be presented as Figure 03 results
• Privacy and remote-support terms for home use are not publicly defined

Boston Dynamics Atlas Pros and Cons

Pros

• Product-version enterprise humanoid with a detailed specification sheet
• 30 kg sustained carrying capacity
• 50 kg instantaneous carrying capacity
• 20 kg one-handed capacity
• 2.3 m reach
• 56 degrees of freedom and continuous joint rotation
• Strong whole-body manipulation under heavy loads
• Four-hour typical battery life
• Autonomous battery exchange in approximately three minutes
• Designed for continuous industrial operation
• IP67 environmental protection
• -20°C to 40°C published operating range
• Fenceless guarding and human detection
• Orbit fleet oversight and MES/WMS integration
• Barcode and RFID workflow support
• Autonomous, VR teleoperated and tablet-control modes
• Modular, field-replaceable components
• Customer self-repair certification pathway
• Committed 2026 programmes with Hyundai and Google DeepMind
• Boston Dynamics’ experience deploying Spot and Stretch into enterprise operations

Cons

• No public purchase or service price
• 2026 deployments were already fully committed
• Not broadly available to ordinary enterprise buyers
• 90 kg mass increases fall, collision and recovery considerations
• Four-hour battery is shorter than Figure 03’s published runtime
• Heavy lifting can reduce battery life to approximately two hours
• No public maximum walking-speed specification
• No public open Atlas SDK or ROS package
• No current-generation public customer throughput or uptime case study
• Google DeepMind foundation-model work remains an active programme rather than a finished standard feature
• Factory and logistics focus is narrower than Figure 03’s home-and-work vision
• Battery stations, spare batteries and Orbit integration add deployment complexity
• Fenceless guarding still requires a complete site-specific risk assessment
• Hyundai’s tens-of-thousands robot strategy should not be interpreted as a confirmed Atlas order of that size

Total Cost of Ownership

A defensible public TCO comparison is not possible because neither company publishes commercial prices or standard support terms. However, the cost structure would differ substantially.

A Figure 03 project should include:

• Robot hardware or service agreement
• Wireless charging stands and site power
• Helix software and update rights
• Task demonstration, data collection and behaviour validation
• Connectivity and high-volume data management
• Privacy, cybersecurity and remote-access controls
• Home or workplace modifications
• Supervision and exception handling
• Field service, replacement hands, textiles, batteries and actuators
• Insurance, compliance and local safety review
• Downtime during model updates or task retraining

An Atlas project should include:

• Robot hardware or enterprise service agreement
• Battery-swap station and spare battery inventory
• Orbit software and systems integration
• Application-specific skill training
• Barcode, RFID, MES, WMS or machine integration
• End-effectors, fixtures and workpiece changes
• Safety validation and traffic planning
• Field-repair training and spare modules
• Preventive maintenance and response-time agreements
• Production downtime during commissioning

Atlas may deliver better economics for physically demanding work because one robot can handle heavier objects and minimise charging downtime. Figure 03 may reduce task-engineering cost when one generalist policy can adapt across many lower-payload activities. Those are hypotheses until tested against a real workflow.

The correct ROI metrics are successful units moved, completed tasks, quality, interventions, productive uptime, ergonomic risk removed and labour genuinely redeployed. Robot hours, demonstration success or theoretical payload alone are not enough.

Neither robot should enter a capital plan using an estimated online hardware price. Obtain a complete installed-cost model and define pilot acceptance criteria before comparing payback.

Questions to Ask Before Choosing Figure 03 or Atlas

1. What exact task must the robot complete? Define every object, location, route, tool and acceptance condition.
2. Why is a humanoid required? Identify which human-scale stations, stairs, variable work points or manipulation needs rule out simpler automation.
3. What is the real repeated payload? Separate peak weight from sustained weight and one-handed handling.
4. What reach is required? Measure the lowest, highest and most distant task points.
5. What throughput is required? Set minimum successful cycles per hour and per shift.
6. How often can a person intervene? Define an acceptable rescue, reset or teleoperation frequency.
7. What happens when perception fails? Test glare, darkness, occlusion, moved fixtures, damaged labels and unexpected people.
8. What happens when the object slips or drops? Require safe recovery and load-retention behaviour.
9. How will the robot remain powered? Model wireless opportunity charging against autonomous battery swapping and fleet size.
10. What safety system is included? Confirm stops, human detection, speed limits, fall zones, guarding and local compliance.
11. What integration is required? List MES, WMS, PLC, barcode, RFID, conveyor, AMR and quality-system interfaces.
12. Which tasks are autonomous? Separate autonomous operation from scripted motion, remote assistance, VR control and manual recovery.
13. How is data handled? Define local processing, cloud transfer, retention, human review and training use.
14. Who can repair the robot? Confirm spare parts, field replacement, response times and technician certification.
15. What current-generation evidence is available? Do not accept Figure 02 or hydraulic Atlas results as direct proof for the robots compared here.
16. What triggers scale-up? Put throughput, uptime, intervention and economic thresholds into the pilot agreement.
17. Can conventional automation perform the task better? Compare the same workflow with a fixed arm, AMR, conveyor, cobot or process redesign.

Use the Anton Robots finder to identify the robot type and models that match the application, payload, environment, timeline and budget before requesting supplier information.

Who Should Consider Figure 03?

Figure 03 belongs on the shortlist when most of the following are true:

• You need a humanoid to handle varied objects rather than one fixed workpiece
• Natural-language instruction is important
• The task requires delicate five-finger manipulation
• The repeated payload fits within the published 20 kg capacity
• You are exploring household assistance or other unstructured indoor environments
• You value five-hour runtime and wireless opportunity charging
• You can participate in a selected commercial, research or development programme
• You can tolerate limited public information on pricing, safety limits and support terms
• You can validate manufacturer demonstrations against your real environment
• You are building a long-term physical-AI strategy rather than buying a standard automation product

Review the full Figure 03 price, specifications and availability profile and the detailed Figure 03 review before evaluating deployment fit.

Who Should Consider Boston Dynamics Atlas?

Atlas belongs on the shortlist when most of the following are true:

• You have a demanding industrial material-handling workflow
• The task requires more than 20 kg of sustained carrying or high instantaneous strength
• You need up to 2.3 m of reach
• The environment requires an IP67 robot or operation across a broad temperature range
• You need continuous operation through autonomous battery exchange
• You require MES, WMS, barcode or RFID integration
• You need a published fenceless-guarding and human-detection architecture
• Field-replaceable modules and customer maintenance are important
• You are a qualified enterprise prepared for a closely supported early-adopter programme
• Your deployment can wait for allocation beyond the already committed 2026 fleet

Review the full Boston Dynamics Atlas price, specifications and availability profile and compare Atlas with other industrial humanoids before beginning a site evaluation.

Common Figure 03 vs Boston Dynamics Atlas Comparison Mistakes

• Comparing Figure 03 with hydraulic Atlas: the current Atlas is a completely different electric product.
• Assigning Figure 02 BMW results to Figure 03: the earlier robot created useful evidence, but the statistics belong to Figure 02.
• Calling Figure 03 a consumer product: it is home-oriented but has no public household ordering programme.
• Calling Atlas broadly available: its 2026 deployments were committed and access remains selective.
• Using a speculative price as a real quote: neither manufacturer publishes standard commercial pricing.
• Comparing only total payload: Atlas publishes sustained, instantaneous and one-handed limits, while Figure gives one headline payload.
• Assuming longer battery life means higher uptime: Figure runs longer per charge, but Atlas can exchange batteries in minutes.
• Assuming five fingers prove better industrial performance: dexterity, force, durability, sensing and task success all matter.
• Assuming Atlas’ strength makes it more intelligent: physical capacity and AI generalisation are different categories.
• Assuming Figure’s home demos prove unrestricted domestic autonomy: demonstrated tasks remain bounded by conditions and training.
• Treating a demonstration as a customer SLA: videos do not establish uptime, intervention rate or guaranteed cycle time.
• Ignoring environment ratings: Atlas publishes IP67 and temperature limits; Figure does not.
• Ignoring enterprise software: physical autonomy is only one part of a working factory system.
• Calling Hyundai’s wider robot purchases an Atlas order: the announced strategy covers multiple robot types.
• Assuming Google DeepMind technology is already standard in every Atlas: the partnership is developing future capabilities.
• Choosing a humanoid before evaluating simpler automation: flexibility may not justify added cost and complexity.

FAQs

Is Figure 03 better than Boston Dynamics Atlas?

Figure 03 is better for fine tactile manipulation, natural-language tasks, household-oriented autonomy, lower mass, longer published runtime and current manufacturing-scale evidence. It is not better for heavy industrial payload, environmental protection, enterprise integration or serviceability disclosure.

Is Boston Dynamics Atlas better than Figure 03?

Atlas is better for demanding factory and warehouse work. It carries more, reaches farther, swaps its own battery, has IP67 protection, works across a published temperature range and integrates with Orbit. Figure 03 is stronger for generalist AI and home-focused dexterity.

Which robot is more advanced?

Figure 03 appears more advanced in publicly demonstrated general-purpose autonomy and fine tactile manipulation. Atlas is more advanced as a specified enterprise industrial system with strength, safety, integration and serviceability. “More advanced” depends on the category.

Can you buy Figure 03?

Figure 03 is not available through a normal public retail or enterprise order process. Figure works with selected partners and uses the fleet for development, data collection, household tasks and commercial applications.

Can you buy Boston Dynamics Atlas?

Qualified enterprises can contact Boston Dynamics to discuss an Atlas application, but the robot is offered through a selected early-adopter process. Boston Dynamics stated that 2026 deployments were already committed.

How much does Figure 03 cost?

Figure has not published a purchase price, subscription, lease or home reservation price. Any public number should be treated as an estimate unless it comes from a current written manufacturer agreement.

How much does Boston Dynamics Atlas cost?

Boston Dynamics has not published a list price. Commercial cost will depend on robot configuration, batteries, Orbit, application development, integration, support and service terms.

Which robot is stronger?

Atlas. It publishes 30 kg sustained capacity, 50 kg instantaneous capacity and 20 kg one-handed capacity. Figure 03 publishes a 20 kg payload without the same breakdown.

How much can Figure 03 carry?

Figure publishes a 20 kg payload. Buyers should confirm whether that applies to carrying, lifting, one-handed work, extended reach and repeated duty cycles in the intended task.

How much can Atlas carry?

Boston Dynamics publishes 30 kg sustained, 50 kg instantaneous and 20 kg one-handed capacity for product-version Atlas.

Which robot has better hands?

Figure 03 has the stronger public case for fine dexterity because its five-finger hands combine palm cameras, compliant fingertips and very sensitive tactile sensing. Atlas has the stronger hands for heavy industrial manipulation and one-handed load capacity.

Which robot has better AI?

Figure 03 currently has more public evidence of a unified generalist VLA completing long-horizon household and manipulation tasks. Atlas has sophisticated learned behaviours, recovery and fleet skill transfer, with additional foundation-model work underway with Google DeepMind.

Is Figure 03 autonomous?

Figure has shown Helix 02 completing multi-minute tasks autonomously from onboard sensors. Autonomy remains task- and environment-dependent, and Figure does not publish a universal intervention rate or success benchmark.

Is Boston Dynamics Atlas autonomous?

Yes, Atlas supports autonomous work and can also be controlled through VR teleoperation or a tablet. Its autonomy is developed around industrial tasks such as part sequencing and material handling.

How long does Figure 03 run?

Figure publishes up to five hours of runtime from its 2.3 kWh battery. Actual productive runtime will depend on payload, movement, compute, waiting and charging behaviour.

How long does Atlas run?

Boston Dynamics publishes four hours in typical operation and approximately two hours during heavy lifting. Atlas can autonomously replace its battery in around three minutes.

Which robot can work longer without stopping?

Figure 03 has the longer single-battery rating. Atlas has the better continuous-operation architecture because it can swap batteries automatically instead of waiting to recharge.

Which robot is faster?

Figure publishes a speed of 1.2 m/s. Boston Dynamics does not publish a directly comparable current Atlas maximum speed, so a verified speed winner cannot be declared beyond the available specification.

Which robot is taller?

Atlas is taller at 1.9 m. Figure 03 is approximately 1.73 m tall.

Which robot is lighter?

Figure 03 is lighter at 61 kg, compared with 90 kg for Atlas.

Which robot has more reach?

Atlas publishes a reach of up to 2.3 m. Figure does not publish a complete Figure 03 reach specification.

Can Figure 03 work in a factory?

Yes, Figure has demonstrated Figure 03 in a BMW logistics workflow and announced a commercial agreement with Catalyst Brands. However, its public industrial safety, environmental and integration documentation is less complete than Atlas’.

Can Atlas work in a home?

Atlas may have long-term home potential, but the current product is designed for enterprise industrial work. It is not a consumer home robot and has no domestic price, order process or household support package.

Which robot is better for warehouse work?

Atlas is better for heavy material handling, order building and integrated enterprise workflows. Figure 03 may be better for lighter, highly variable package handling that benefits from fine tactile manipulation and language-directed adaptation.

Which robot is better for manufacturing?

Atlas is the stronger default for demanding manufacturing work because of its payload, reach, environmental rating, battery swapping, safety system and Orbit integration. Figure 03 remains compelling for flexible part manipulation and tasks that demand generalist AI.

Which robot is better for home tasks?

Figure 03. It was designed for household environments and has shown dishwashing, laundry, cleaning and room-tidying behaviours. It is still not a generally available home product.

Can Figure 03 climb stairs?

Figure describes Figure 03 as designed to move through human environments, including stairs, but it does not publish a complete stair specification covering dimensions, speed, payload or validated surfaces. Buyers should request task-specific evidence.

Can Atlas work outside?

Atlas has an IP67 rating and a published -20°C to 40°C operating range, making it more suitable for demanding environments. Outdoor use still depends on terrain, weather, communications and the exact application.

Can either robot work safely next to people?

Atlas publishes human detection and fenceless guarding for industrial work, subject to site validation. Figure 03 uses soft materials and safety-oriented design, but a complete public collaborative safety envelope is not available. Neither should be deployed around people without a formal risk assessment.

Does Figure 03 use teleoperation?

Figure uses human demonstrations and internal data-collection systems to train behaviours, but it presents the Helix 02 demonstrations discussed here as autonomous. Commercial agreements should define when remote assistance or teleoperation may occur.

Does Atlas use teleoperation?

Atlas supports VR teleoperation as one of three operating modes, alongside autonomous operation and tablet control. Teleoperation can be useful for data collection, setup and recovery, but should be separated from autonomous task performance.

Does Figure 03 have fleet-management software?

Figure has internal fleet, diagnostics, manufacturing and field-service systems, but it has not publicly detailed a standard customer fleet platform comparable to Boston Dynamics Orbit.

What is Boston Dynamics Orbit?

Orbit is Boston Dynamics’ enterprise platform for monitoring robot work and performance, reviewing fleet metrics and connecting Atlas with systems such as MES and WMS.

Can developers program Figure 03 or Atlas?

Both companies train and configure their robots, and enterprise customers may receive integration capabilities. Neither robot is currently offered as an open low-level ROS development platform with unrestricted control.

Which company is manufacturing more humanoids?

Figure publishes the stronger current number: more than 350 Figure 03 units and a demonstrated one-unit-per-hour cycle. Boston Dynamics has begun Atlas production but has not published a directly comparable completed-unit count.

Is Figure 03 already deployed at BMW?

Figure has shown Figure 03 completing a logistics workflow at BMW. The 11-month deployment that loaded more than 90,000 parts was completed by Figure 02, not Figure 03.

Is Atlas already deployed at Hyundai?

Boston Dynamics has reported customer field testing and a completed initial deployment with Hyundai, with additional product-version fleets scheduled for the Robotics Metaplant Application Center during 2026.

Should I deploy Atlas or wait for Figure 03?

Choose Atlas for a heavy industrial workflow when you can enter Boston Dynamics’ early-adopter process and meet its deployment timeline. Follow Figure 03 when the application depends on fine general-purpose manipulation, home-like variability or language-based task learning. In both cases, compare conventional automation before waiting for a humanoid.

Final Verdict

Boston Dynamics Atlas wins the Figure 03 vs Atlas comparison for demanding industrial automation in 2026. Figure 03 wins for general-purpose physical AI, fine dexterity, household-oriented design and disclosed manufacturing scale.

Atlas is the more complete enterprise product. Its specification sheet answers questions that industrial buyers actually need answered: sustained load, peak load, one-handed capacity, reach, runtime under heavy work, battery exchange, IP rating, operating temperature, human detection, fenceless guarding, control modes, workflow integrations and serviceability. Orbit also provides a credible path from a robot demonstration to an integrated fleet.

Figure 03 is the more ambitious generalist. It is smaller and lighter, runs longer on one battery and has shown an unusually broad set of autonomous behaviours through Helix 02. Its palm cameras, tactile fingertips and five-finger hands support delicate tasks that are very different from Atlas carrying a heavy component. Figure’s production ramp is also real: more than 350 current-generation robots and a one-unit-per-hour cycle provide a stronger manufacturing signal than most humanoid programmes.

Neither robot is an off-the-shelf buying option. Figure 03 has no public home reservation or general enterprise order programme. Atlas has a defined enterprise pathway, but its 2026 deployments are committed and public pricing remains unavailable. Buyers should not treat manufacturer production goals, successful videos or old-generation results as guaranteed commercial performance.

The correct decision starts with the workflow. Choose Atlas when the problem is heavy, industrial and integration-intensive. Choose Figure 03 when the problem is varied, dexterous and dependent on general-purpose language-driven autonomy. Choose neither when a fixed arm, AMR, conveyor, cobot or purpose-built machine can deliver the required output with less cost and risk.

Review Figure 03 and Boston Dynamics Atlas in more detail, compare both robots side by side, explore the best humanoid robots in 2026, or use the Anton Robots finder to identify the right robot for your application, facility and budget.

Primary Sources

• Figure 03 official product page and specifications
• Figure: Introducing Figure 03
• Figure: Introducing Helix 02 full-body autonomy
• Figure: Ramping Figure 03 production
• Figure 03 battery development, runtime and charging
• Figure 03 manufacturing logistics demonstration at BMW
• Figure and Catalyst Brands commercial agreement
• Figure 02 BMW deployment results and Figure 03 design learnings
• Figure and Brookfield physical-AI data and deployment partnership
• Boston Dynamics Atlas official product page
• Boston Dynamics Atlas official specification sheet
• Boston Dynamics product-version Atlas announcement and deployment schedule
• Boston Dynamics enterprise Atlas design, safety, power and serviceability
• Atlas autonomous engine-cover sequencing demonstration
• Boston Dynamics Atlas heavy-work and whole-body manipulation development
• Boston Dynamics Atlas large behaviour models and teleoperation training
• Boston Dynamics and Google DeepMind Atlas AI partnership
• Boston Dynamics and Hyundai manufacturing and deployment collaboration