Baoling Han
Papers
16
Total Citations
198
H-Index
7
About
Baoling Han is a robotics researcher whose work spans motion planning, control systems, and multi-legged locomotion — areas that sit at the heart of modern autonomous robotics. With a career stretching back to at least 2006, Han has built a substantial body of work addressing fundamental challenges in making robots move intelligently and reliably through complex environments. Han's most influential contribution is an improved Rapidly-Exploring Random Tree (RRT) algorithm for collision-free path planning, which has garnered 73 citations since 2020 and reflects growing interest in sampling-based motion planning for high-dimensional robotic systems. Complementing this, Han has advanced model predictive control with integral compensation for manipulator trajectory tracking (31 citations) and developed a general inverse kinematics solver applicable to robots with arbitrary degrees of freedom. Notably, Han's research extends beyond manipulators to legged locomotion, including dynamic stability criteria for quadruped robots and the innovative design of a land-air amphibious robot capable of both walking and flight — a creative contribution to disaster response robotics. Early foundational work on hexapod robot gait planning and workspace optimization further demonstrates Han's long-standing commitment to bio-inspired robotics, making their research profile both broad and deeply practical for engineers designing next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Stability Criterion for Dynamic Gaits of Quadruped Robot18 citations · 2018
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- 6Motion Planning and Simulation of Combined Land-Air Amphibious Robot11 citations · 2018
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- 8Research on biologically inspired hexapod robot's gait and path planning6 citations · 2009
- 9A Research on Hexapod Walking Bio-robot's Working Space and Flexibility6 citations · 2006
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