Papers

8

Total Citations

84

H-Index

5

About

Guangli Sun is a robotics researcher whose work spans legged locomotion, climbing robots, and vision-based control systems, making meaningful contributions to both industrial automation and advanced robot motion planning. Sun's early research focused on practical inspection challenges, resulting in the design of innovative climbing robots capable of ascending lampposts and high-mast lighting structures — work that garnered 13–14 citations and demonstrated clear real-world utility in infrastructure maintenance. Complementing this hardware-oriented research, Sun developed sophisticated vision-based impedance control frameworks for robotic wall polishing, addressing critical shortcomings in manual renovation work such as safety hazards and inconsistent quality, with related papers accumulating nearly 15 citations. Sun also tackled multi-robot coordination, proposing synchronization schemes for rope-climbing robots operating collaboratively in complex aloft environments. More recently, Sun's research advanced into dynamic legged locomotion, producing a notable optimal motion planning framework for quadruped jumping — including acrobatic maneuvers such as flips and spins — formulated as a black-box optimization problem over centroidal dynamics, earning 23 citations. Across these domains, Sun's body of work reflects a consistent drive to push robotics from controlled lab settings into challenging, real-world environments.

Research Focus

Key Achievements

5
H-Index
8
Papers
84
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
An Optimal Motion Planning Framework for Quadruped Jumping
23 citations · 2022
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Chinese University of Hong Kong, China University of Mining and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago