Papers
50
Total Citations
552
H-Index
12
About
Jing-Sin Liu is a distinguished robotics and automation researcher whose career spans over three decades of foundational and applied contributions to mobile robotics, manipulator control, and intelligent systems. His work addresses some of the most challenging problems in robotic motion planning and control, ranging from early investigations into robust nonlinear control of robotic manipulators (1990, 29 citations) to sophisticated path planning algorithms for autonomous mobile robots. Liu's most cited contribution — a practical cubic spiral-based path planning framework for car-like robots (2005, 63 citations) — exemplifies his talent for bridging mathematical elegance with real-world applicability. He has made notable advances in 3D indoor mapping using rotating laser range finders mounted on mobile platforms, redundant manipulator trajectory planning in constrained workspaces, and nonlinear model predictive control for wheeled robots navigating dynamic environments. His development of ellipsoid-based collision detection methods and η³-spline path planning further demonstrate his breadth across geometric and optimization-driven approaches. Liu has also contributed to intelligent control through neuro-fuzzy systems and to field robotics through genetic algorithm-optimized data mule routing in wireless sensor networks. Collectively accumulating over 300 citations, his body of work reflects a consistently rigorous and innovative approach that continues to inform researchers in autonomous systems and robotic intelligence.
Research Focus
Key Achievements
Top Papers
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- 4Robust nonlinear control of robotic manipulators29 citations · 1990
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- 6A novel collision detection method based on enclosed ellipsoid27 citations · 2002
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