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About

Yingbo Lu is a leading researcher in space robotics and autonomous navigation, whose work centers on the control and path planning of tethered space robots and mobile robotic systems. His major contributions lie in developing robust control strategies for post-capture tethered combinations, addressing the unique challenges of underactuated systems in space. Notably, his 2017 paper on finite-time attitude takeover control for tethered space robots has garnered 35 citations, establishing a foundation for safe debris capture and manipulation. Lu has also advanced collision-free navigation for mobile robots in dynamic environments, introducing the RRT*-Fuzzy Dynamic Window Approach (RRT*-FDWA) in 2023, which integrates sampling-based planning with real-time obstacle avoidance. His work on energy-based saturated controllers and disturbance-observer-based approaches, such as the super-twisting law for approaching control, has further demonstrated his expertise in stabilizing complex tethered systems under physical constraints. With over 87 citations across his key publications, Lu’s research is highly influential in the fields of space robotics and autonomous systems, offering practical solutions for space debris removal and terrestrial robot navigation. His adaptive anti-windup control methods have also been recognized for enhancing the reliability of post-capture operations, making him a notable figure in modern robotics.