Papers
3
Total Citations
87
H-Index
3
About
Shui-Chun Lin is a leading researcher in robotics and embedded intelligent systems, whose work has significantly advanced the autonomous capabilities of omnidirectional mobile robots. His primary research areas include bio-inspired computing, parallel algorithms, and motion control for robotic systems operating in complex, uncertain environments. Lin’s most impactful contribution is his pioneering development of a coarse-grain parallel deoxyribonucleic acid (PDNA) algorithm, implemented on an FPGA platform, to solve the computationally intensive inverse kinematics problem for a five-link robotic arm mounted on an omnidirectional mobile service robot. This work, published in 2010 and garnering 58 citations, demonstrated a novel, highly efficient approach to achieving optimal robot configurations for tasks like fire extinguishment. He further advanced the field by introducing an adaptive polar-space motion control scheme to handle parameter variations and uncertainties in embedded omnidirectional robots (22 citations), and a parallel elite genetic algorithm (PEGA) for global path planning in static grid-based environments (7 citations). Lin’s work is notable for its practical, hardware-driven approach, bridging the gap between theoretical optimization algorithms and real-time embedded control systems.
Research Focus
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