#tactile-sensing News & Analysis

4 articles tagged with #tactile-sensing. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

AINeutralarXiv – CS AI · 4d ago6/10

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Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation

Researchers introduce Center-of-Pressure (CoP), a physics-grounded tactile representation that enables robots to perform complex contact-rich manipulation tasks through sim-to-real transfer learning. The method preserves dense touch sensor information while remaining robust across simulation-to-reality gaps, demonstrating zero-shot transfer on dexterous hand tasks like peg insertion and ball balancing.

AIBullisharXiv – CS AI · Mar 36/107

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HydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning

HydroShear is a new tactile simulation system for robotics that enables zero-shot sim-to-real transfer of reinforcement learning policies by accurately modeling force, shear, and stick-slip transitions. The system achieved 93% success rate across four dexterous manipulation tasks, significantly outperforming existing vision-based tactile simulation methods.

AIBullisharXiv – CS AI · Mar 26/1020

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DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter

Researchers developed DECO, a multimodal diffusion transformer for bimanual robot manipulation that integrates vision, proprioception, and tactile signals. The system achieved 72.25% success rate on complex manipulation tasks, with a 21% improvement over baseline methods when tested on over 2,000 robot rollouts.

AINeutralarXiv – CS AI · Mar 54/10

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A Bayesian Framework for Active Tactile Object Recognition, Pose Estimation and Shape Transfer Learning

Researchers developed a Bayesian framework combining particle filters and Gaussian processes for robotic tactile object recognition and pose estimation. The system can identify known objects, detect novel objects, and transfer knowledge to learn new shapes through active touch exploration.