Papers

8

Total Citations

121

H-Index

5

About

Ru Kang is a robotics researcher whose work focuses on the design, control, and dynamic locomotion of legged robots, particularly quadrupedal systems. His major contributions include the development of a parallel quadruped robot capable of perception-less terrain adaptation and highly dynamic movement, as detailed in his most-cited paper (64 citations). He has also advanced high-payload locomotion through structural design and crawling pattern generators (25 citations), and explored bio-inspired take-off maneuvers for quadruped robots with manipulators, targeting rugged planetary exploration (9 citations). Kang’s research emphasizes symmetric leg design for impact mitigation during jumping (8 citations), and he has drawn inspiration from human joint dislocation and reduction to create overload protectors for humanoid robot shoulders (6 citations). His work on parallel-elastic robot legs for loaded jumping (4 citations) and whole-body synergy-based balance control on sloped terrains (3 citations) further showcases his systematic approach to enhancing robot stability and payload capacity. With a consistent focus on bridging mechanical design and control algorithms, Kang’s research is highly relevant for students and researchers interested in agile, robust, and practical legged robotics for real-world applications.

Research Focus

Key Achievements

5
H-Index
8
Papers
121
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Design and Dynamic Locomotion Control of Quadruped Robot with Perception-Less Terrain Adaptation
64 citations · 2022
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Beijing Institute of Technology, Lanzhou University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago