About

Dr. Hehua Ju is a leading researcher in space robotics and industrial manipulator systems, whose work bridges fundamental kinematics with real-world mission-critical applications. His primary research areas include trajectory planning for dual-arm space robots, inverse kinematics of 6R manipulators, and calibration techniques for industrial robots. Dr. Ju’s most influential contribution is his 2022 study on coordinated trajectory planning for dual-arm space robots under multiple avoidance constraints, which has garnered 41 citations and addresses the complex challenge of collision-free motion in constrained orbital environments. He is also widely recognized for his 2020 paper proposing a fixed axis-invariant calibration approach that significantly improves the absolute positioning accuracy of industrial manipulators—a method that eliminates cumbersome modeling steps by measuring first and modeling after. His work on inverse kinematics, including a new class of 6R robotic arms with simple constraints and an improved Dixon elimination method, has advanced analytical solutions for robot control. More recently, Dr. Ju has explored nonlinear model predictive control for free-floating dual-arm space robots and task planning for space-robot clusters using modified differential evolution algorithms. With over 160 total citations across his top ten papers, Dr. Ju’s research is foundational for the next generation of autonomous, high-precision robotic systems in space and industry.

Research Focus

Key Achievements

8
H-Index
19
Papers
200
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Coordinated trajectory planning of a dual-arm space robot with multiple avoidance constraints
41 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Nanjing University of Aeronautics and Astronautics, Ministry of Industry and Information Technology, Beijing University of Technology, Harbin Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago