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About

Changyi Lin is an emerging robotics researcher whose work sits at the intersection of tactile sensing, dexterous manipulation, and legged locomotion. He is perhaps best known for developing novel vision-based tactile sensors, most notably the 9DTact and DTact systems, which have collectively garnered nearly 100 citations since their 2023 publication. These sensors represent significant advances in the field: 9DTact enables accurate 3D shape reconstruction and generalizable 6D force estimation in a compact form factor, while DTact innovatively harnesses light reflection properties to measure high-resolution 3D geometry directly from darkness, simplifying fabrication and improving extensibility. Beyond sensing hardware, Lin has applied these technologies to broader robotic systems, including ArrayBot, a reinforcement learning-driven distributed manipulation platform using tactile-integrated pillar arrays, and LocoMan, which expands quadrupedal robot dexterity through lightweight loco-manipulators. His most recent work on agile continuous jumping in discontinuous terrains further demonstrates his range, pushing boundaries in dynamic legged locomotion. Together, Lin's contributions reflect a coherent vision of robots that can richly perceive and interact with their physical environments across diverse and challenging scenarios.