Papers

1

Total Citations

5

H-Index

1

About

Haohui Zhu is a robotics researcher whose work centers on advancing the locomotion capabilities of quadruped robots, with a particular focus on trajectory optimization and kinematic precision. Their most-cited paper, "Locomotion trajectory optimization for quadruped robots with kinematic parameter calibration and compensation" (2024), addresses a critical challenge in legged robotics: ensuring stable and efficient movement despite mechanical inaccuracies. By integrating kinematic parameter calibration with real-time compensation techniques, Zhu's approach enables robots to adapt to hardware imperfections, significantly improving gait robustness and energy efficiency. This contribution has already garnered 5 citations, signaling growing recognition in the field. Zhu's research bridges theoretical optimization and practical implementation, offering a systematic framework for enhancing autonomous navigation in unstructured environments. Their work is particularly relevant for applications in search-and-rescue, industrial inspection, and field robotics, where reliable locomotion is paramount. As a rising voice in robotic control, Zhu continues to push the boundaries of how machines interact with complex terrains, laying groundwork for more resilient and adaptive autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Locomotion trajectory optimization for quadruped robots with kinematic parameter calibration and compensation
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago