Blind manipulation via joint encoders for general-purpose robotics
Overview
This paper presents a breakthrough in robotic manipulation by showing that contact-based joint position signals can enable precise, zero-shot insertion tasks such as pegs, gears, and nuts without cameras or tactile sensors. The approach leverages joint drift to perform blind, fine-grained assembly tasks, marking a significant step toward general-purpose robotics.
From Pulkit Agrawal — X Robotics
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- 2026-10-30T22:24:58.938Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T22:24:43.016Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
Report timeline
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- Pulkit Agrawal — X RoboticsSignalManipulation Solved by Feeling: Vision Isn't as Important as You Think
This paper presents a breakthrough in robotic manipulation by showing that contact-based joint position signals can enable precise, zero-shot insertion tasks such as pegs, gears, and nuts without cameras or tactile sensors. The approach leverages joint drift to perform blind, fine-grained assembly tasks, marking a significant step toward general-purpose robotics.
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