Fei Jin

Papers

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About

Fei Jin is a robotics researcher whose work centers on intelligent path planning, kinematics optimization, and mechanism design for robotic systems. A key contribution is the pioneering application of ant colony algorithms to obstacle-avoidance path planning for free-flying space robots, a complex combinatorial problem that his 2002 paper addressed with an improved bionic approach (14 citations). He later advanced inverse kinematics for industrial manipulators by developing the sine-cosine particle swarm optimization (SCAPSO) algorithm, which introduces random perturbations to prevent premature convergence—a notable 2020 contribution (4 citations). Jin also explored assistive robotics through the mechanics analysis of a wheelchair robot with a wheel-track coupling mechanism (2013, 7 citations), demonstrating versatility across space, industrial, and rehabilitation domains. His work bridges bio-inspired computation and practical robotic control, offering efficient solutions for high-dimensional optimization challenges. With a career spanning two decades, Jin’s research has influenced both theoretical algorithm design and applied robotics, making him a respected figure in computational intelligence for robotic systems.