Papers
9
Total Citations
331
H-Index
5
About
Shiqing Lu is a leading researcher in intelligent robotics, with a primary focus on path planning, medical logistics automation, and novel robotic joint design. His most impactful work centers on developing advanced algorithms for mobile robot navigation, including the bidirectional alternating search A* algorithm (177 citations) and an improved RRT* algorithm using path expansion heuristic sampling (122 citations), both of which significantly enhance efficiency and optimality in complex environments. Lu has also made notable contributions to medical logistics, introducing optimization models for pharmaceutical dispensing robots that reduce operational time and improve storage efficiency. In the domain of robotic hardware, he designed a novel variable stiffness joint based on a rack and pinion structure, improving robot compliance and energy efficiency. His recent work extends to soft robotics, with an electroadhesion-enhanced pneumatic gripper enabling delicate and multimodal grasping. With over 330 total citations and publications spanning 2021 to 2025, Lu’s research bridges algorithmic innovation and practical hardware design, offering impactful solutions for autonomous systems in healthcare, manufacturing, and service robotics.
Research Focus
Key Achievements
Top Papers
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- 3Design and Analysis of a Novel Variable Stiffness Joint for Robot10 citations · 2022
- 4New Method of Path Optimization for Medical Logistics Robots7 citations · 2021
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