Lucas Vergez
Papers
1
Total Citations
32
H-Index
1
About
Lucas Vergez is a leading researcher in physical human–robot interaction (pHRI), with a focus on enhancing the safety and intuitiveness of collaborative robotic systems. His work centers on multimodal perception, integrating vision and tactile sensing to enable robots to recognize human intention and attention in real time. His most cited paper, "Vision- and Tactile-Based Continuous Multimodal Intention and Attention Recognition for Safer Physical Human–Robot Interaction" (2023, 32 citations), introduces a novel framework that uses skin-like tactile sensors to detect human contact and contextualize it—distinguishing deliberate interaction from incidental touch. This contribution is pivotal for advancing collaborative robots that can operate safely alongside humans without sacrificing usability. Vergez’s research addresses a critical gap: binary tactile sensors alone cannot interpret contact context, so his multimodal approach improves both safety and responsiveness. By combining tactile feedback with visual cues, his work paves the way for more natural, adaptive human–robot collaboration. With growing citation impact, Vergez is recognized for pushing the boundaries of sensor fusion and intention recognition, making him a key voice in the future of safer, more intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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