Bertrand Higy

Papers

Total Citations

H-Index

About

Bertrand Higy’s research lies at the intersection of robotics, haptics, and sensory integration, with a focus on enabling machines to perceive and interact with objects as humans do. His most-cited work, “Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics” (2016, 11 citations), addresses a fundamental challenge in robotic manipulation: how to fuse proprioceptive data, force/torque feedback, and tactile signals to identify objects through touch. By systematically analyzing the role of each sensory modality and the exploratory procedures a robot employs—such as grasping, lifting, or sliding—Higy demonstrated that multimodal integration significantly boosts recognition accuracy. This contribution is pivotal for advancing autonomous systems in unstructured environments, from industrial sorting to assistive robotics. Beyond this flagship paper, his broader portfolio explores how robots can learn from physical interaction, bridging gaps between perception and action. While his citation count reflects a growing niche, the methodological rigor and practical implications of his work have earned recognition in the haptics and robotics communities. For students and researchers, Higy’s research offers a compelling blueprint for designing robots that truly feel their world.