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The wheeled humanoid navigates autonomously between workstations and assists with picking, sorting, transporting, and providing components.
Two precise 7-axis arms enable the gripping, alignment, and insertion of various components – depending on the configuration with dexterous hands and force sensors.
The ATOM-W combines mobile navigation with dual-arm manipulation and can move workpieces between stations, feed them, or remove them in a controlled manner.
The platform supports the development of autonomous manipulation sequences, AI-based decision-making models, and intelligent human-robot interactions.
With the supported VR data collection kit, movement and interaction data can be captured for demonstration learning, control, and AI training.
For research and development environments, the ATOM-W takes over recurring gripping, sorting, and transfer tasks at various laboratory stations.
The Dobot ATOM-W is a highly advanced, wheeled robotics platform designed for demanding AI research applications and mobile industrial use. Based on official datasheet specifications, the system combines bionic dual arms with high-precision force control and agile, autonomous mobility. Thanks to its integrated VLA (Vision-Language-Action) architecture, high on-device computing power, and an immersive data collection kit, the ATOM-W can be seamlessly integrated into complex work environments and continuously adapted to new tasks.
Advantage for professionals: The Dobot ATOM-W bridges the gap between sophisticated laboratory research and robust industrial deployment. With its combination of bionic dual-arm kinematics, immense onboard AI computing power, and optional force and vision sensors, the system offers a highly flexible, complete solution for autonomous manipulation, teleoperation, and future-oriented AI development.
Terra Robotics
https://terra-robotics.de/
mail@terra-robotics.de
Zeißstraße 10,
32584 Löhne
Germany
Mobile manipulation with two 7-axis arms
The DOBOT ATOM-W combines an autonomous mobile base with two precise 7-axis robotic arms. Each arm achieves a repeatability of ±0.05 mm, a reach of approximately 600 mm, and a nominal payload of 3.5 kg. This allows the robot to pick up, align, transport, and place components in a controlled manner at various workstations. The movable waist expands the workspace and supports flexible manipulation tasks from changing positions.
AI-powered robotics development
The high-performance computing platform of the DOBOT ATOM-W forms the basis for AI-based perception, decision-making, and manipulation. An integrated Vision-Language-Action model combines visual information, linguistic instructions, and robot movements into end-to-end task workflows. Through the available SDK, the VR data collection kit, and the embodied data toolchain, users can develop their own applications, teleoperation solutions, and robot learning projects.
Navigation and visual environment recognition
LiDAR navigation, depth camera, and HD binocular camera support the DOBOT ATOM-W in orientation, object recognition, and spatial analysis of its environment. The mobile base moves at up to 1.5 m/s between workstations and can also navigate narrow passages from approximately 500 mm in width. Optionally available depth cameras on the hands and waist expand near-field detection for precise object localization, obstacle detection, and autonomous manipulation tasks.
The DOBOT ATOM-W is a wheeled humanoid robot for mobile manipulation, industrial automation, and embodied AI research. It combines an autonomous mobile platform with two 7-axis robotic arms, a movable waist, visual environmental perception, and powerful AI computing hardware.
The DOBOT ATOM-W is suitable for intralogistics, material supply, component sorting, pick-and-place, machine tending, mobile assembly, laboratory automation, as well as research and education. DOBOT demonstrated the robot performing tasks such as gripping, sorting, transporting, and loading and unloading automotive components.
The wheeled chassis enables stable and efficient movement on level floors in production halls, laboratories, and logistics areas. LiDAR-based navigation supports independent travel to various workstations. With a width of around 500 mm, the robot can also move through comparatively narrow passageways.
The two 7-axis robotic arms achieve a specified repeatability of ±0.05 mm. Each arm offers a reach of around 600 mm excluding the end effector and a nominal payload of 3.5 kg. This makes the ATOM-W suitable for precise gripping, aligning, inserting, and placing of components.
The base platform features a depth camera, an HD binocular camera, a microphone array, and two speakers. This sensor suite supports spatial perception, object recognition, navigation, and human-robot interaction. Optionally, additional depth cameras can be added to the hands and the waist area.
Dexterous robotic hands are not automatically part of the base platform and depend on the chosen configuration. Robotic hands, each with six degrees of freedom, are available as an option. In addition, force-torque sensors and hand-mounted depth cameras can be integrated for delicate gripping and assembly tasks.
The base platform has a total of 20 degrees of freedom without robot hands. Of these, two are allocated to the head, seven to each of the two robot arms, and four to the movable waist. Optional dexterous hands expand the range of movement depending on the selected configuration.
Embodied AI refers to the integration of artificial intelligence with a robot that perceives its environment and physically interacts with it. With the DOBOT ATOM-W, visual information, task instructions, navigation, and manipulation can be combined. The integrated Vision-Language-Action model provides a foundation for autonomous and adaptive task sequences.
Yes, the DOBOT ATOM-W supports VR-based teleoperation and an embodied data toolchain, depending on the configuration. This allows human-demonstrated movements and interactions to be captured, evaluated, and used for robot learning or the development of custom AI models.
Before integration, the work environment, workflow, object weights, required reach, end effectors, sensor technology, and software requirements should be defined. Navigation, the safety concept, and interfaces with machines or IT systems must also be checked on a project-specific basis. For complex applications, a proof of concept under realistic conditions is recommended first.
The DOBOT ATOM-W is a wheeled humanoid robotics platform for mobile manipulation, embodied AI, and flexible automation projects. Instead of bipedal walking, the system relies on a stable chassis, combining this mobility with two precise 7-axis robotic arms, a movable waist, and comprehensive visual perception. This allows the robot to navigate between workstations, locate objects, and perform various gripping, transport, or handover tasks. For companies, universities, and research institutions, this creates a platform that integrates autonomous navigation, dual-arm manipulation, and AI development into one system.
The wheel-based design makes the DOBOT ATOM-W particularly interesting for structured indoor environments such as production halls, laboratories, development centers, and logistics areas. The mobile base utilizes LiDAR navigation, reaches up to 1.5 m/s according to the data sheet, and with a width of approximately 500 mm, is also designed for comparatively narrow traffic paths. Unlike a stationary industrial robot, the mobile humanoid is not bound to a single robot cell. It can travel to different stations and take on new tasks at each one.
Typical scenarios range from material supply and kitting to sorting and the handover of workpieces. You can find a comprehensive overview of suitable processes on our page regarding Assembly and Handling. There, you can learn when mobile manipulation platforms, humanoid robots, or classic cobots are sensible for pick-and-place, machine tending, and high-mix production.
The DOBOT ATOM-W features two 7-axis robotic arms. Each arm offers a specified reach of approximately 600 mm without an end-effector, a nominal payload of 3.5 kg, and a repeatability of ±0.05 mm. The additional axis compared to classic 6-axis robots expands the range of motion and facilitates working from different angles. Together with the four-axis waist, the robot can flexibly align its upper body and increase the usable workspace.
This kinematics supports tasks such as gripping, reorienting, inserting, placing, or coordinated work with both arms. Depending on the chosen configuration, grippers, dexterous robot hands, force-torque sensors, or additional cameras can be added. A standardized gripper can be particularly efficient for recurring components, while robot hands allow more flexibility for changing shapes and human-like handling operations.
For autonomous tasks, the robot must not only move and grip but also reliably perceive its environment. The platform includes a depth camera and an HD binocular camera on the head. Additionally, a 360-degree microphone array and two speakers are available for acoustic interaction. Optional depth cameras on the hands or waist can expand near-field detection and more accurately capture objects directly in the gripping area.
This sensor architecture forms the foundation for spatial orientation, object recognition, and the preparation of gripping movements. In a real-world application, however, lighting, reflective surfaces, obscured components, container geometries, and possible collision contours must be taken into account. A cleanly planned proof of concept shows whether the camera setup, gripping strategy, and work environment interact reliably under realistic conditions.
The ATOM-W is designed not only as a mobile automation platform but also for embodied AI and robot learning projects. An integrated computing platform with an Intel i9 processor and a powerful GPU provides resources for image processing and AI models. The vision-language-action concept combines visual perception, task descriptions, and physical robot actions into end-to-end sequences.
For research teams, the support of VR-assisted teleoperation, data acquisition, and custom software development is also relevant. Human-demonstrated movements can serve as training data to study manipulation sequences or to further develop proprietary models. Using the SDK, application-specific functions and process logic can be built. Further research platforms and selection criteria can be found on our topic page Humanoid Robots for Industry, Research, and Education.
In industry, the DOBOT ATOM-W is particularly suitable for pilot projects and flexible tasks involving multiple stations, changing components, or human-designed workspaces. Conceivable applications include material transport, kitting, component sorting, assembly, light installation, inspection tasks, or the operation of standardized elements. For high-cycle times, heavy loads, or completely constant processes, specialized systems may be more economical. The added value of the ATOM-W lies primarily in the combination of different capabilities within a single mobile platform.
In laboratories and universities, the system enables work on navigation, computer vision, manipulation, teleoperation, human-robot interaction, and AI-supported task planning. Information on suitable learning, development, and research environments can be found on our page Robots for Schools and Universities.
A classic cobot is often the better choice when a clearly defined task is performed continuously at a fixed station. The ATOM-W becomes particularly interesting when mobility, dual-arm work, changing deployment locations, and AI-based perception are to be combined. For example, it can pick up material from a shelf, transport it to an assembly station, and perform a further manipulation task there.
This makes the mobile humanoid platform primarily suitable for flexible pilot cells, research scenarios, and processes that cannot be economically represented by several individual special machines. Further DOBOT cobots, desktop robots, and automation solutions can be found on our DOBOT Manufacturer Page.
Before purchasing the DOBOT ATOM-W, the area of application, object weight, gripping points, station layout, travel paths, charging or docking concept, communication interfaces, and safety requirements should be defined. Camera use, data protection, emergency stops, speeds, and distances to people must also be included in the risk assessment. The actual achievable process performance also depends on the end-effector, software, sensors, and the quality of available training and process data.
Terra Robotics provides support in selecting the appropriate configuration, the technical assessment of the use case, and the planning of a proof of concept. For a concrete feasibility check, you can describe your project directly via our inquiry form for robotics projects.
