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Robots infer touch from vision and proprioception for manipulation

Researchers have developed a new transformer-based framework called NoContactNoWorries that infers contact states for robotic manipulation using only vision and proprioception. This approach mimics human embodied perception, offering a cost-effective alternative to tactile sensors. The system has demonstrated its ability to support downstream reinforcement learning agents for in-hand object reorientation, even generalizing to novel objects. AI

IMPACT Enables robots to perform more dexterous manipulation tasks without specialized tactile sensors.

RANK_REASON The cluster contains a research paper detailing a new method for robotic manipulation.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Robots infer touch from vision and proprioception for manipulation

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The cluster contains a research paper detailing a new method for robotic manipulation.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Soham Patil, Avirup Das, Sourabh Bhosale, Spandan Roy ·

    NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation

    arXiv:2606.24450v1 Announce Type: cross Abstract: Perceiving physical contact is fundamental to dexterous manipulation. While robots often rely on dedicated hardware tactile sensors, humans exhibit a remarkable ability to infer contact by integrating visual information with an in…

  2. arXiv cs.AI TIER_1 English(EN) · Spandan Roy ·

    NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation

    Perceiving physical contact is fundamental to dexterous manipulation. While robots often rely on dedicated hardware tactile sensors, humans exhibit a remarkable ability to infer contact by integrating visual information with an innate sense of their body's pose and movement. Insp…