Nicolas Huloux
Papers
1
Total Citations
17
H-Index
1
About
Nicolas Huloux is a researcher whose work lies at the intersection of tactile sensing, haptics, and human sensorimotor control. His primary research focuses on understanding how the human sense of touch encodes critical information—such as object slippage and frictional properties—to enable rapid, adaptive grasping. In his most-cited paper, "Efficient tactile encoding of object slippage" (2022, 17 citations), Huloux demonstrates that the sensorimotor system can process tactile cues in under 200 milliseconds to deduce frictional strength and react to unexpected perturbations, revealing the remarkable efficiency of biological touch. This contribution has significant implications for the design of biomimetic tactile sensors and dexterous robotic hands. By bridging neuroscience and engineering, Huloux’s work provides a foundational understanding of how tactile information is encoded and used for real-time motor control. His research not only advances the field of haptics but also inspires new approaches to creating more responsive and human-like robotic manipulation systems.
Research Focus
Key Achievements
Top Papers
- 1Efficient tactile encoding of object slippage17 citations · 2022