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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Boston Dynamics’ current Atlas is a fully electric humanoid designed for enterprise material handling—not the hydraulic research robot the company retired in April 2024. Its public descriptions show a system that combines camera-based perception, tactile sensing, electric actuation and whole-body control. In one parts-handling demonstration, Atlas detects and locates objects, estimates their state while manipulating them, and generates motions online. The company has not published the actuator models or a complete control-system design, so the engineering picture is informative but not fully disclosed.
Which Atlas does this describe?
Boston Dynamics retired its hydraulic Atlas research program when it introduced a fully electric generation in April 2024. The company said the electric version would be stronger and have a broader range of motion than earlier generations; that was the company’s characterization, not an independent comparison.
The current product is positioned as an industrial, enterprise humanoid for material handling. It should not be confused with the retired hydraulic research platform, and the available materials do not establish Atlas as a consumer product. In a January 5, 2026 announcement, Boston Dynamics said manufacturing of the product version would begin immediately and that deployments at Hyundai and Google DeepMind were scheduled during 2026. Those were plans stated in that announcement, not independent confirmation that deployments had since occurred.
What sensors does Atlas use?
Boston Dynamics’ sales sheet, dated December 23, 2025, lists tactile fingers and a tactile palm, along with a 360-degree camera view. In its engine-cover sequencing demonstration, the company also describes vision, force and proprioceptive sensing. Proprioception is the robot’s sense of its own body and movement; force sensing provides feedback about contact and load.
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The demonstration illustrates how these inputs support a feedback loop rather than a single “see and pick” action. Atlas perceives the scene, estimates where fixtures and bins are, tracks the state of objects as it handles them, and can use sensory feedback to respond when conditions change or an action fails. The public descriptions do not specify camera count or models, the placement of force sensors, or the sensor-fusion algorithm.
In 2025, Boston Dynamics and LG Innotek announced a collaboration to develop vision-sensing components intended to help Atlas perceive its surroundings in low visibility, poor weather and dark environments. That announcement describes a development effort; it does not establish a particular sensor configuration on every Atlas unit.
How does Atlas move, and what is known about its actuators?
The current Atlas is fully electric. Boston Dynamics says the move to electric actuation reduced complexity and supports quieter operation and improved energy efficiency. Its product materials list 56 degrees of freedom and continuous joint range of motion. Together, these facts describe a robot built for whole-body movement, but they do not reveal the hardware or control details behind each joint.
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Boston Dynamics has not publicly identified Atlas’s motor models or topology, transmission or gearing design, joint-level torque, or detailed control loops. Nor does the public material provide a complete control-system diagram. Those details should be treated as undisclosed, rather than inferred from the robot’s appearance or from other humanoids.
The retired hydraulic generation remains relevant as research history: Boston Dynamics says work with it informed later development in control, balance and whole-body motion. Its hydraulic design details should not be carried over to the electric product.
How does Atlas handle a task autonomously?
Boston Dynamics’ “Atlas Goes Hands On” demonstration follows an engine-cover sequencing task: moving parts from supplier containers to a mobile sequencing dolly. The company describes the following process:
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- Receive task context: Atlas is given the locations of the bins.
- Perceive the work area: A machine-learning vision model detects and localizes fixtures and individual bins.
- Choose a grasp: A specialized grasping policy determines how to grasp an item.
- Track the manipulation: Atlas continuously estimates the state of objects it is handling.
- Generate and adjust motion: The robot generates motions autonomously online and uses vision, force and proprioceptive sensing to respond to changing fixtures and failures, including an unsuccessful insertion, a trip or a collision.
Boston Dynamics says the movements in this demonstration are neither prescribed in advance nor teleoperated. That establishes autonomy for this specific task, not that every Atlas job runs without human setup, monitoring or exception handling. The product materials also list VR teleoperation and tablet control as operating modes, alongside autonomous operation.
What does the published specification say?
The figures below are Boston Dynamics product specifications from its sales sheet dated December 23, 2025. They are company-published values, not independently measured results. Payload categories are not interchangeable: instantaneous capacity is not a sustained rating.
| Category | Boston Dynamics’ published specification |
|---|---|
| Height and weight | 1.9 m (6.2 ft); 90 kg (198 lb) |
| Mobility | 56 degrees of freedom; continuous joint range of motion |
| Reach | 2.3 m (7.5 ft) |
| Weight capacity | 50 kg instantaneous; 30 kg sustained; 20 kg one-handed |
| Battery life | 4 hours stated; 2 hours under heavy lifting |
| Battery service | 3-minute autonomous battery swap; 1.5-hour stated charge time |
| Listed sensing | Tactile fingers and palm; 360-degree camera view |
| Environmental rating | IP67; operating temperature from -20°C to 40°C (-4°F to 104°F) |
| Safety and workflow features | Fenceless guarding and human detection; barcode scanner and RFID integrations |
| Operating modes | Autonomous, VR teleoperated and tablet control |
| Serviceability | Modular components, field replaceability and customer self-repair certification are listed |
These published figures describe Boston Dynamics’ stated specifications; they do not establish independent validation or disclose the conditions behind every rating beyond the workload distinction given for heavy-lifting battery life.
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- AI Voice Command & Recognition. Equipped with Large Language Models, TonyPi accurately understands voice commands, analyzes visual scenes in its field of view, and carries out appropriate actions—enabling smooth and responsive voice interaction.
- AI Vision Recognition and Tracking. TonyPi's 2DOF head is fitted with an HD camera that provides a wide field of view. It supports a range of AI vision capabilities, including color recognition, target tracking, ball kicking, line following, and MediaPipe-based motion control for interactive AI applications.
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How are learning and AI part of Atlas’s development?
Boston Dynamics has described development work using reinforcement learning in simulation and from teleoperated demonstrations, as well as improvements to 2D and 3D perception, gripper design and grasp practice. The company has also described large behavior models for full-body control and motion-capture and animation pipelines used with reinforcement learning. These are reported development approaches, not a published account of a single model that controls every Atlas behavior.
Announced collaborations cover several areas: NVIDIA-related Isaac workflows for grasping research and AI compute, LG Innotek work on vision sensing, Toyota Research Institute research on general-purpose humanoids and large behavior models, and Robotics & AI Institute work on reinforcement-learning training. Partnership announcements identify areas of collaboration; by themselves, they do not show that a partner’s technology is a customer-upgradeable module or that it wholly controls the robot.
What remains unknown from public materials?
Boston Dynamics’ product pages, sales sheet, demonstrations and announcements explain the product’s intended use, selected sensing capabilities, operating modes and company-stated specifications. They do not disclose the full autonomy architecture, exact sensor makes and counts, actuator construction, complete safety-certification details or independent benchmark results. The demonstrations and specifications are useful for understanding the company’s design claims, but they are not a substitute for independent performance testing.
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