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Discussion of Common Causes of Visual Grasping Failures in G1 Humanoid Robots

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In a discussion on Reddit r/robotics, a poster listed the common sources of failure in practice for visual grasping by humanoid robots such as the G1: camera depth or pose errors, hand-eye calibration drift or incorrect camera-to-hand transforms, latency from perception to control, and gripper issues (mismatch between opening and object size, friction, compliance, backlash). The poster accordingly solicited feedback on real-world experience from robotics grasping practitioners, and no conclusion has yet been given as to which of these is the main cause. These failure sources span four stages—perception, calibration, control timing, and the end effector—indicating that visual grasping failure may not lie in the vision algorithm itself.

AI 根据报道生成 · 1 days ago更新

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11月10日
  1. Reddit r/robotics
    When a vision-based grasp fails, what is usually the real cause for humanoid robots such as the G1?

    For vision-based grasping with humanoid robots such as the G1, the sources of failure in practice are listed one by one: camera depth or pose errors, hand-eye calibration drift or incorrect camera-to-hand transforms, latency from perception to control, and gripper issues (opening versus object size, friction, compliance, backlash). The poster is asking robotics grasping practitioners for feedback from real experience.

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