Papers

3

Total Citations

10

H-Index

2

About

Shigang Wang is a robotics researcher whose work spans legged locomotion, reconfigurable robotic systems, and field robotics for industrial applications. His research has made meaningful contributions to the design and control of quadruped robots, most notably through the development of bionic, impact-free foot-end trajectory generation algorithms that integrate workspace analysis with joint constraints — a critical advancement for stable and efficient quadrupedal gait planning. Wang has also contributed to the field of modular robotics, proposing a novel lattice distortion approach that enables lattice-type reconfigurable robots to achieve the efficient chain-style gaits traditionally reserved for more specialized platforms, thereby bridging two historically distinct robotic paradigms. Beyond laboratory robotics, his work extends to practical industrial challenges, including the development of safe control strategies for hot-line assembly robots operating on live 110kV intelligent substations — research with direct implications for worker safety and power infrastructure maintenance. With citations accumulating across these diverse domains, Wang exemplifies a researcher whose contributions balance theoretical rigor with real-world engineering impact, making his body of work valuable reading for students interested in mobile robotics, reconfigurable systems, and autonomous field operations.

Research Focus

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Quadruped Robot Foot-end Trajectory Generation Algorithm
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Guangxi University of Science and Technology, Shanghai Jiao Tong University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago