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About

Liangliang Sun is a robotics researcher whose work spans robot kinematics, adaptive control, and industrial automation. His most impactful contribution is a novel inverse kinematics solution for general robots using an improved Particle Swarm Optimization (PSO) algorithm, which overcomes the limitations of closed-form and numerical methods for robots not satisfying the Pieper criterion—a paper that has garnered 95 citations. Sun also developed fault-tolerant adaptive PID switched control for robot manipulators under varying loads, modeled as multi-mode switched systems, advancing robust control theory. His research extends to practical applications, including tool sequencing optimization for semiconductor manufacturing (PVD cases) using CPLEX, and 3D point cloud hole repair for binocular stereo reconstruction in robotic-assisted minimally invasive surgery. More recently, he has explored multi-sensor fusion and machine vision for transportation robots, integrating IoT and edge computing. With a total of over 110 citations across his key works, Sun’s contributions bridge theoretical robotics with real-world industrial and medical applications, demonstrating a consistent focus on solving complex control and optimization challenges in robotic systems.