About

Dr. Jianghai Zhao is a leading researcher in robotics, specializing in adaptive control, bio-inspired locomotion, and autonomous navigation for humanoid, biped, and redundant manipulator systems. His work addresses critical challenges in dynamic environments, including precise trajectory tracking under varying payloads and external forces. Dr. Zhao’s most influential paper, “Adaptive fuzzy sliding mode controller with nonlinear observer for redundant manipulators handling varying external force” (24 citations), introduces a robust control framework that enhances manipulator performance in unpredictable conditions. He has also made significant contributions to bipedal locomotion, with works on energy-efficient gait planning inspired by human motion analysis (17 citations) and soft landing control strategies to mitigate impact forces. Notably, his research on “Design and implementation of an ROS based autonomous navigation system” (9 citations) provides a practical, open-source framework for wheeled mobile robots, widely used in educational and research settings. Dr. Zhao’s work on motion planning for humanoid robots stepping over large obstacles (9 citations) pushes the boundaries of legged robotics in rescue missions. With over 100 total citations across his publications, his contributions continue to influence the fields of adaptive control, bio-inspired robotics, and autonomous systems, making him a key figure in advancing robotic capabilities for complex, real-world tasks.

Research Focus

Key Achievements

6
H-Index
24
Papers
137
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive fuzzy sliding mode controller with nonlinear observer for redundant manipulators handling varying external force
24 citations · 2016
📈 Most Prolific Year: 2016 (7 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: Chinese Academy of Sciences, Hefei Institutes of Physical Science, Institute of Advanced Manufacturing Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago