Yu Alexander Tse
Papers
8
Total Citations
251
H-Index
6
About
Yu Alexander Tse is a robotics researcher whose work spans tactile sensing, soft robotics, and bioinspired design — fields at the forefront of next-generation robotic manipulation and locomotion. He is perhaps best known for developing "FingerVision," a novel optical-based tactile sensor that combines a soft skin with embedded markers and a webcam to enable robots to detect slip and contact forces with remarkable fidelity, garnering 74 citations since its 2018 introduction. Building on this foundation, Tse advanced contact estimation algorithms using Helmholtz–Hodge Decomposition, enabling more accurate force and torque retrieval from vision-based tactile sensors (72 citations). His contributions extend into soft robotics, where he designed an inchworm-inspired locomotion robot actuated by low-cost supercoiled polymer artificial muscles and developed variable stiffness actuators combining pneumatic and muscle-like actuation. His "Viko" gecko gripper integrates vision-based tactile sensing with bioinspired dry adhesives, addressing a longstanding challenge in adaptive robotic grasping. More recently, Tse has pursued scalable fabrication of controllable dry adhesives through roll-to-roll manufacturing techniques. Collectively, his research bridges sensing, actuation, and bioinspiration, offering practical pathways toward more dexterous, affordable, and adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Viko: An Adaptive Gecko Gripper with Vision-based Tactile Sensor23 citations · 2021
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- 6An Origami-Inspired Monolithic Soft Gripper Based on Geometric Design Method16 citations · 2019
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- 8Viko: An Adaptive Gecko Gripper with Vision-based Tactile Sensor5 citations · 2021