Quentin Huet

Institut Systèmes Intelligents et de Robotique

Papers

Total Citations

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About

Quentin Huet is a researcher in robotics and tactile sensing, with a focus on enhancing robotic manipulation through non-visual perception. His work bridges the gap between tactile feedback and object localization, a critical challenge for robots operating in unstructured or occluded environments. Huet’s most-cited paper, “Online object localization in a robotic hand by tactile sensing” (2025), introduces a method for real-time, vision-free localization during grasping, demonstrating how tactile data alone can guide a robotic hand to accurately determine an object’s position. This contribution is particularly significant for tasks where vision is unreliable, such as in cluttered spaces or low-light conditions. While his citation count is still emerging, Huet’s research represents a foundational step toward more autonomous and adaptive robotic systems. His work has been recognized within the robotics community for its practical implications in industrial automation and assistive technologies. For students and researchers, Huet’s approach underscores the untapped potential of tactile sensing in advancing dexterous manipulation, offering a compelling alternative to vision-dominated paradigms.