Chuhao Chen

Papers

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About

Chuhao Chen is a robotics researcher whose work sits at the intersection of tactile sensing, material science, and human-robot interaction. His primary research focus is on developing more intuitive and accurate tactile sensing systems for robots, particularly through bio-inspired approaches that mimic human touch. Chen’s most influential contribution, "Human-Touch-Inspired Material Recognition for Robotic Tactile Sensing" (2019, 20 citations), introduces a novel method where robots perform a short, human-like sliding motion to collect tactile data, which is then processed via machine learning for material identification. This work is foundational for enabling robots to perceive and interact with their environment more naturally. In his related study, "The Impact of the Electronic Skin Substrate on the Robotic Tactile Sensing" (2019, 4 citations), Chen investigates how the substrate of an electronic skin (e-skin) affects sensing performance for Tri-Co robots (coexisting-cooperative-cognitive robots). By demonstrating that the elastomeric substrate is critical for improving tactile accuracy, his research provides essential design guidelines for next-generation robotic skins. Chen’s work is paving the way for more dexterous and perceptive robots capable of safe, nuanced physical interaction.