Jean-Philippe Roberge
Papers
9
Total Citations
247
H-Index
7
About
Jean-Philippe Roberge is a leading researcher in robotic tactile sensing and dexterous manipulation, with a focus on bridging the gap between human-like touch perception and autonomous robotic systems. His key contributions span the development of highly sensitive multimodal capacitive tactile sensors (60 citations) and innovative visuotactile sensors like StereoTac, which uniquely combine tactile sensing with 3D vision for improved manipulation in cluttered environments (32 citations). Roberge has pioneered the use of gecko-inspired directional adhesives to enhance industrial grippers with adhesion-controlled friction (50 citations), offering a practical solution for handling delicate objects. His work on unsupervised feature learning using sparse coding for classifying dynamic tactile events—such as slippage and contact detection—has advanced robotic grasp stability assessment (42 citations). Additionally, Roberge has explored haptic feedback interfaces for robotic arm control and tactile sensation transmission, with applications in prosthetics and human-robot interaction. With over 247 total citations and a growing portfolio of influential publications, his research continues to push the boundaries of how robots perceive and interact with their physical environment.
Research Focus
Key Achievements
Top Papers
- 1A highly sensitive multimodal capacitive tactile sensor60 citations · 2017
- 2Improving Industrial Grippers With Adhesion-Controlled Friction50 citations · 2018
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- 9Tactile-Based Object Recognition Using a Grasp-Centric Exploration2 citations · 2021