DOBOT ATOM D Humanoid Robot Data Collection
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Unbox large-scale data collection with the DOBOT ATOM D — a humanoid robot purpose built for capturing high quality embodied AI datasets. Featuring dual 7 DoF arms, a 2 DoF head, customizable end-effectors, and an Intel RealSense D455 depth camera, it’s engineered for efficient, motion sickness minimized data capture.
Unbox large-scale data collection with the DOBOT ATOM D — a specialized variant of Dobot’s ATOM humanoid robot platform, optimized specifically for large scale data tasks. Where the base ATOM focuses on real world task execution and ATOM Max targets advanced research and industrial applications, the ATOM D is engineered around one core mission: capturing clean, high quality, and reproducible data for embodied AI and robot learning pipelines.
Key Features:
- 7-DoF Dual Arms – Two seven degree of freedom arms provide human like reach and articulation, ideal for capturing natural manipulation trajectories during data collection sessions.
- 2-DoF Head – A two degree of freedom head enables natural head movement and viewpoint variation, adding realistic perspective diversity to captured datasets.
- Customizable End-Effectors – Supports interchangeable dexterous hands, grippers, and wrist cameras, allowing teams to tailor the robot’s end effector configuration to the specific manipulation task being recorded.
- Intel RealSense D455 Depth Camera – Integrated with a 6-meter range, delivering accurate depth perception for spatially rich, high fidelity 3D data capture.
- 60fps Full HD Binocular Camera – Designed specifically to minimize VR/MR motion sickness while ensuring high quality imaging critical for teleoperated data collection sessions that involve human operators wearing headsets for extended periods.
- Ethernet Connectivity – Supports reliable, high throughput wired connectivity for efficient external data collection and processing, ensuring large datasets can be transferred and stored without bottlenecks.
Why a Dedicated Data Collection Variant Matters:
Training reliable embodied AI and imitation learning models depends on the quality and consistency of the underlying dataset. The ATOM D’s hardware choices from its motion sickness optimized binocular camera to its Ethernet based data pipeline are all oriented toward one goal: making it easier for research and engineering teams to collect large volumes of clean, well structured demonstration data without hardware becoming the bottleneck.
| Arm Configuration | 7-DoF dual arms |
|---|---|
| Head | 2-DoF |
| End-Effectors | Customizable (dexterous hands, grippers, wrist cameras) |
| Depth Camera | Intel RealSense D455, 6m range |
| Vision Camera | 60fps Full HD binocular, motion sickness minimized |
| Connectivity | Ethernet |
| Primary Use Case | Large scale embodied AI data collection |
Description
Unbox large-scale data collection with the DOBOT ATOM D — a specialized variant of Dobot’s ATOM humanoid robot platform, optimized specifically for large scale data tasks. Where the base ATOM focuses on real world task execution and ATOM Max targets advanced research and industrial applications, the ATOM D is engineered around one core mission: capturing clean, high quality, and reproducible data for embodied AI and robot learning pipelines.
Key Features:
- 7-DoF Dual Arms – Two seven degree of freedom arms provide human like reach and articulation, ideal for capturing natural manipulation trajectories during data collection sessions.
- 2-DoF Head – A two degree of freedom head enables natural head movement and viewpoint variation, adding realistic perspective diversity to captured datasets.
- Customizable End-Effectors – Supports interchangeable dexterous hands, grippers, and wrist cameras, allowing teams to tailor the robot’s end effector configuration to the specific manipulation task being recorded.
- Intel RealSense D455 Depth Camera – Integrated with a 6-meter range, delivering accurate depth perception for spatially rich, high fidelity 3D data capture.
- 60fps Full HD Binocular Camera – Designed specifically to minimize VR/MR motion sickness while ensuring high quality imaging critical for teleoperated data collection sessions that involve human operators wearing headsets for extended periods.
- Ethernet Connectivity – Supports reliable, high throughput wired connectivity for efficient external data collection and processing, ensuring large datasets can be transferred and stored without bottlenecks.
Why a Dedicated Data Collection Variant Matters:
Training reliable embodied AI and imitation learning models depends on the quality and consistency of the underlying dataset. The ATOM D’s hardware choices from its motion sickness optimized binocular camera to its Ethernet based data pipeline are all oriented toward one goal: making it easier for research and engineering teams to collect large volumes of clean, well structured demonstration data without hardware becoming the bottleneck.
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