Papers
25
Total Citations
607
H-Index
11
About
Dr. Jianqing Peng is a leading researcher at the intersection of space robotics, surgical robotics, and intelligent perception systems. His work fundamentally addresses how robots perceive, model, and interact with dynamic, uncooperative environments—whether in orbit or in the operating room. Dr. Peng’s most impactful contribution is in the pose measurement and motion estimation of space non-cooperative targets, a critical challenge for on-orbit servicing and debris removal. His pioneering hybrid method for modeling dynamic coupling in space robots (123 citations) and his fusion of laser radar with stereo-vision for robust pose estimation (88 citations) have set new standards for the field. He has also made significant strides in dual-arm coordinated capture of tumbling targets and in the dynamic modeling of hyper-redundant robots. In a notable pivot to medical robotics, Dr. Peng has developed autonomous recognition systems for surgical instruments using advanced YOLO networks (50 citations) and intelligent endoscope tracking that optimizes pose control and hand-eye coordination. His work on FPGA-based parallel architectures for real-time feature detection further demonstrates his commitment to practical, high-performance systems. With over 500 total citations, Dr. Peng’s research is shaping the future of autonomous robotic manipulation in both space and surgery.
Research Focus
Key Achievements
Top Papers
- 1Hybrid modeling and analysis method for dynamic coupling of space robots123 citations · 2016
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- 10FPGA-based parallel hardware architecture for SIFT algorithm19 citations · 2016