Tzu-Yang Pai

Papers

Total Citations

147

H-Index

About

Tzu-Yang Pai is a leading researcher in soft robotics and compliant mechanism design, with a focus on creating adaptive, gentle grasping systems for unknown and vulnerable objects. His major contributions lie in the optimal design and topology optimization of soft robotic grippers, where he has pioneered methods to synthesize monolithic, underactuated fingers that can conform to objects of varying size and shape without requiring complex sensing or control. His most cited work, "Optimal Design of a Soft Robotic Gripper for Grasping Unknown Objects" (2018), has garnered 117 citations and introduces a motor-driven, two-finger compliant gripper that balances structural compliance with robust grasping performance. In a complementary study (30 citations), Pai developed a topology optimization approach for a 3D-printed compliant finger with multiple output ports, enabling precise, damage-free handling of delicate items. His research bridges computational design and practical prototyping, advancing the state of the art in adaptive grasping for manufacturing, healthcare, and service robotics. Pai’s work is essential reading for engineers and students interested in soft robotics, compliant mechanisms, and topology optimization.