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  • $639.00
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    Snap Hook for SenseCAP T1000 Tracker

    • Wiring optimization: Compared to SO-ARM100, SO-ARM101 features improved wiring that prevents disconnection issues previously seen at joint 3. The new wiring design also no longer limits the range of motion of the joints.
    • Different gear ratios for the leader arm: The leader arm now uses motors with optimized gear ratios, improving performance and eliminating the need for external gearboxes.
    • New functionality support: The leader arm can now follow the follower arm in real-time, which is crucial for the upcoming reinforcement learning (RL) policy, where a human can intervene and correct the robots actions.
    • Open-source and low-cost: It is an open-source, low-cost robotic arm solution from TheRobotStudio.
    • Integration with LeRobot: Designed for integration with LeRobot platform which offers PyTorch models, datasets and tools for reinforcement learning and imitation learning for real-world robotics applications (including data collection, simulation, training and deployment).
    • Abundant learning resources: Provides comprehensive open-source learning resources like assembly and calibration guides, and tutorials for testing, data collection, training and deployment to assist users in quickly getting started and developing robotic applications.
    • Compatible with Nvidia: Deploy this arm kit with reComputer Mini J4012 Orin NX 16 GB.
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    Any questions? Ask CelesteSM will help you find out quickly.

    1. Wiring optimization: Compared to SO-ARM100, SO-ARM101 features improved wiring that prevents disconnection issues previously seen at joint 3. The new wiring design also no longer limits the range of motion of the joints.
    2. Different gear ratios for the leader arm: The leader arm now uses motors with optimized gear ratios, improving performance and eliminating the need for external gearboxes.
    3. New functionality support: The leader arm can now follow the follower arm in real-time, which is crucial for the upcoming reinforcement learning (RL) policy, where a human can intervene and correct the robots actions.
    4. Open-source and low-cost: It is an open-source, low-cost robotic arm solution from TheRobotStudio.
    5. Integration with LeRobot: Designed for integration with LeRobot platform which offers PyTorch models, datasets and tools for reinforcement learning and imitation learning for real-world robotics applications (including data collection, simulation, training and deployment).


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