5 papers
Adaptive Compressive Tactile Subsampling: Enabling High Spatiotemporal Resolution in Scalable Robotic Skin
Ariel Slepyan, Dian Li, Hongjun Cai +5
Robots require full-body, high-resolution tactile sensing to operate safely in unstructured environments, enabling reflexive responses and closed-loop control. However, the pixel c…
Single-Pixel Tactile Skin via Compressive Sampling
Ariel Slepyan, Laura Xing, Rudy Zhang +1
Development of large-area, high-speed electronic skins is a grand challenge for robotics, prosthetics, and human-machine interfaces, but is fundamentally limited by wiring complexi…
Visual Feedback of Pattern Separability Improves Myoelectric Decoding Performance of Upper Limb Prostheses
Ruichen Yang, György M. Lévay, Christopher L. Hunt +5
State-of-the-art upper limb myoelectric prostheses often use pattern recognition (PR) control systems that translate electromyography (EMG) signals into desired movements. As prost…
At First Contact: Stiffness Estimation Using Vibrational Information for Prosthetic Grasp Modulation
Anway S. Pimpalkar, Ariel Slepyan, Nitish V. Thakor
Stiffness estimation is crucial for delicate object manipulation in robotic and prosthetic hands but remains challenging due to dependence on force and displacement measurement and…
Invariant neuromorphic representations of tactile stimuli improve robustness of a real-time texture classification system
Mark M. Iskarous, Zan Chaudhry, Fangjie Li +7
Humans have an exquisite sense of touch which robotic and prosthetic systems aim to recreate. We developed algorithms to create neuron-like (neuromorphic) spiking representations o…