Hung-Chen Yu

National Taiwan University, Boston University

Papers

Total Citations

H-Index

About

Hung-Chen Yu is a pioneering researcher in soft robotics and haptic sensing, whose work bridges the gap between mechanical innovation and intelligent robotic manipulation. His most influential contribution, "Tube-crawling soft robots driven by multistable buckling mechanics" (2018, 41 citations), introduced a novel paradigm for locomotion in constrained environments by harnessing multistable buckling—a principle that enables soft robots to move like inchworms through tubes without external power sources. This breakthrough has profound implications for medical endoscopy and industrial inspection. Yu also advances robot perception, as seen in his study on "Effects of Force-Torque and Tactile Haptic Modalities on Classifying the Success of Robot Manipulation Tasks" (2019, 6 citations), where he systematically compared haptic feedback types to improve task success classification. By integrating force-torque sensors with tactile modalities, his work enhances robots’ ability to self-assess delicate operations, such as assembly or surgery. With a growing citation impact, Yu’s research exemplifies how fundamental mechanics and sensory intelligence converge to create more adaptive, autonomous robots. His achievements position him as a rising leader in soft robotics and human-robot interaction.