Bingqing Lan
Papers
2
Total Citations
10
H-Index
2
About
Dr. Bingqing Lan is a leading researcher in intelligent robotics, specializing in motion control and autonomous navigation for mobile robots in complex, human-centric environments. Her work masterfully bridges deep reinforcement learning and non-holonomic constraint theory to solve critical challenges in robot maneuverability. Dr. Lan’s most impactful contribution, detailed in her highly cited 2019 paper (7 citations), introduces a novel point stabilization kinematic control law that leverages deep reinforcement learning to overcome the motion control limitations of non-holonomic mobile robots. This foundational work provides a memory-based kinematic model that significantly enhances a robot’s ability to learn and execute precise movements. Expanding on this, her 2022 study (3 citations) tackles the pressing real-world problem of hazardous gas inspection in narrow man–machine environments. Here, she pioneers a combined autonomous behavior strategy that optimizes speed for dynamic obstacle avoidance while critically integrating the concept of personal space, ensuring safe and efficient operation in tight, shared spaces. Dr. Lan’s research is pivotal for advancing the deployment of safe, intelligent service robots in industrial and public settings.
Research Focus
Key Achievements
Top Papers
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- 2