Massimo Regoli

Papers

Total Citations

172

H-Index

About

Massimo Regoli is a leading researcher in robotic tactile sensing and dexterous manipulation, with a focus on enabling robots to interact with unstructured environments through touch. His most impactful contribution is the development of **uSkin**, a soft, distributed, digital 3-axis skin sensor integrated on the humanoid robot iCub (144 citations), which provides rich tactile feedback by measuring both normal and shear forces, mimicking human skin. Regoli’s work extends to **hierarchical grasp control** (18 citations), where he introduced a robust controller that uses tactile feedback to maintain grasp stability under external perturbations and adapt to unknown objects. He also pioneered methods for **controlled tactile exploration and haptic object recognition** (10 citations), combining grasp stabilization with exploratory behaviors to identify object shape and softness. His research has been instrumental in advancing robotic perception and manipulation, with applications in humanoid robotics and assistive technologies. Regoli’s contributions are widely recognized for bridging the gap between sensor design and practical control, making him a key figure in the field of soft robotics and tactile sensing.