Papers
2
Total Citations
26
H-Index
2
About
Tao Yi is a researcher at the intersection of bionics, robotics, and computer vision, with a focus on bio-inspired mechanisms and intelligent robotic manipulation. Their major contributions include a pioneering analysis of the jumping mechanism in flea beetles (Coleoptera, Chrysomelidae, Alticini)—a hyperdiverse group of nearly 9,900 species—and the translation of this biological principle into a preliminary design for a robotic jumping leg. This work, cited 22 times, bridges entomology and engineering, offering new pathways for agile robot locomotion. In robotics, Yi proposed Policy-Oriented Instance Segmentation (POIS) for ambidextrous robot picking, enabling robots equipped with both a parallel-jaw gripper and a suction cup to generate coordinated target masks for efficient, parallel picking. This innovation, with 4 citations, advances adaptive grasping in industrial and service settings. Yi’s research uniquely combines deep biological insight with practical robotic design, demonstrating how nature’s solutions can inspire cutting-edge automation. Their work is notable for its interdisciplinary approach, appealing to students and researchers in bionics, robotics, and computer vision alike.
Research Focus
Key Achievements
Top Papers
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