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About

Tzu-Yang Pai is a roboticist whose work bridges soft robotics, biomimetic locomotion, and agricultural automation. His research centers on developing compliant, underactuated grippers and multi-legged robots capable of navigating complex environments. Pai’s most impactful contribution is a soft robotic gripper module featuring 3D-printed compliant fingers, optimized through topology synthesis to gently grasp fragile fruits without sensors. This work, cited 40 times, demonstrates a practical, low-cost solution for handling delicate objects in agriculture. He has also advanced legged locomotion by designing multi-legged robots that use modified Jansen eight-bar linkages to achieve switchable walking and stair-climbing modes, with foot trajectories modeled on human gait. His 2017 study on this topic, with 12 citations, showcases a novel path synthesis method for identifying optimal link dimensions. Pai’s broader portfolio includes intelligent systems for fruit handling and laser marking, as well as a topology-optimized industrial gripper for fragile objects. His work is distinguished by its focus on real-world deployment—combining simulation-driven design, 3D printing, and biomimetic principles to create robots that are both functional and accessible. For students and researchers, Pai’s research offers a compelling model of how computational design and additive manufacturing can yield elegant, practical solutions in soft and field robotics.