Laurent Blanchet

Centre Inria d'Université Côte d'Azur, École Normale Supérieure Paris-Saclay

Papers

Total Citations

H-Index

About

Laurent Blanchet is a robotics researcher whose work focuses on advancing the safety and functionality of robotic systems, particularly through the study of cable-driven parallel robots (CDPRs) and human-robot interaction. His key research areas include interference detection, haptic sensing, and safe robotic interaction. Blanchet’s most notable contribution is his 2014 paper on interference detection for CDPRs, which has garnered 48 citations. In this work, he addresses a critical challenge in CDPR design—collisions with the environment and self-interference—by presenting algorithms that enable reliable operation within large, six-dimensional workspaces. This research is foundational for expanding CDPR applications in fields like manufacturing and logistics. Additionally, his 2009 paper on combining haptic sensing with safe interaction, though less cited, demonstrates his commitment to low-cost, practical solutions for human-robot collaboration. By integrating tactile binary switch matrices with pressure-sensitive bumpers, Blanchet’s work paves the way for safer, more intuitive robotic systems. His achievements highlight a dedication to bridging theoretical algorithms with real-world safety, making him a valuable contributor to the robotics community.