Standardized Setup for Bimanual Robot Learning
Designed for SO-101 and reBot B601 robotic arms, this positioning mat helps maintain consistent spacing and placement between two robot arms, creating a standardized workspace for bimanual teleoperation, data collection, and imitation learning.
Seeed Studio will continue collecting and publishing bimanual manipulation datasets on Hugging Face. By following the same robot positioning setup, developers can more easily reuse compatible open-source datasets, reducing the need to collect training data from scratch and accelerating robot learning experiments.
SO-101 & reBot Standardized Data Collection
Pair the Bimanual Robot Positioning Mat with the Robot Arm Camera Mount to maintain consistent robot and camera positioning during data collection. This standardized setup helps capture repeatable dual-arm demonstrations for imitation learning, enabling developers to train robots for more complex tasks such as clearing tables, sorting objects, and coordinated pick-and-place operations.
SO-101 Bimanual Teleoperation
Control two robotic arms simultaneously to perform coordinated tasks while collecting demonstrations for imitation learning and AI policy training. The affordable SO-101 is a 5+1 DoF open-source robot arm compatible with popular imitation learning algorithms, making it ideal for beginners exploring robot learning and low-cost prototyping. Follow the SO-101 Wiki tutorial to get started with model training and evaluation.
| Bimanual Robot Positioning Mat_800*140mm | x1 |
| HSCODE | 3926909090 |
| USHSCODE | 3926100000 |
| UPC | |
| EUHSCODE | 3926909705 |
| COO | CHINA |
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