Papers
20
Total Citations
436
H-Index
10
About
Licheng Wu is a versatile robotics researcher whose work spans space robotics, bio-inspired systems, robotic manipulation, and computer vision-based environmental monitoring. His early career focused on the complex dynamics of flexible dual-arm space robots, producing influential studies on dynamic modeling, optimal trajectory planning, and impact control during object capture — challenges critical to autonomous orbital operations. These contributions, including a 2006 paper with 88 citations, established him as a notable voice in space robotics dynamics and control. Wu later expanded into robotic hand design, contributing simulation frameworks for underactuated finger mechanisms and developing 3D-printed robotic hands, demonstrating a consistent interest in dexterous manipulation. His more recent and highly impactful work addresses aquatic environmental pollution through vision-based autonomous robots. His modified YOLO-based detection systems — applied to both surface and underwater garbage collection robots — have earned substantial recognition, with his 2020 YOLOv3 paper alone accumulating 95 citations. Across his career, Wu has accumulated over 380 citations, reflecting the breadth and practical relevance of his research. His portfolio uniquely bridges foundational robotics theory with urgent real-world challenges in environmental sustainability and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 6Water Dancer II-A: A Non-Tethered Telecontrollable Water Strider Robot27 citations · 2011
- 7Dynamic modeling, control and simulation of flexible dual-arm space robot15 citations · 2003
- 8A 3D-printed Robot Hand with Three Linkage-driven Underactuated Fingers15 citations · 2018
- 9Pruning-Based YOLOv4 Algorithm for Underwater Gabage Detection15 citations · 2021
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