Papers
3
Total Citations
24
H-Index
3
About
Jin Yi is a robotics researcher whose work focuses on multi-robot coordination, path planning, and manipulator design. Their major contributions lie in developing efficient algorithms for cooperative systems, including a two-stage path planning approach for multiple car-like robots that uses Pythagorean Hodograph curves and a modified harmony search algorithm to minimize both path length and task completion time (14 citations). Yi also proposed an adaptive memetic algorithm with dual-level local search for cooperative route planning in multi-robot surveillance systems, addressing critical applications in disaster response, agriculture, and environmental monitoring (7 citations). In parallel robotics, Yi contributed to the optimal design of a 6-DOF parallel manipulator, using constrained differential evolution to maximize workspace through geometric and kinematic analysis (3 citations). This work supports the growing use of parallel robots in motion simulation and industrial applications. Yi’s research advances the autonomy and adaptability of robotic systems, with direct implications for real-world multi-robot operations.
Research Focus
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Top Papers
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