3 papers
cs.RO2026
Touch2Trace: Tactile-Driven Imitation Learning for Dexterous Cable Tracing
Matteo Grimaldi, David Klee, Ziling Chen +5
Dexterous manipulation of deformable objects demands continuous fingertip-level regulation of pressure, friction, and incipient slip. We study one of the most challenging cases: de…
cs.RO2026
SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection
Tong Jian, Aditya Thurvas Senthil Kumar, Xinyi Li +7
Slip detection is fundamental to dexterous manipulation, yet existing systems often lack precise characterization of detection latency and cross-platform generalization. We present…
cs.RO2026
Symmetry-Aware Fusion of Vision and Tactile Sensing via Bilateral Force Priors for Robotic Manipulation
Wonju Lee, Matteo Grimaldi, Tao Yu
Insertion tasks in robotic manipulation demand precise, contact-rich interactions that vision alone cannot resolve. While tactile feedback is intuitively valuable, existing studies…