Papers
12
Total Citations
272
H-Index
6
About
Dapeng Zhang is a leading researcher in robotic precision assembly, surgical robotics, and autonomous manipulation. His pioneering work on the vascular interventional robot (78 citations) introduced robotic assistance to reduce X-ray exposure during conventional surgery, marking a significant advance in medical robotics. Zhang’s core contributions lie in developing skill-learning frameworks that enable robots to acquire complex manipulation abilities from human demonstrations. His 2019 paper on robotic skill learning for precision assembly using microscopic vision and force feedback (49 citations) established a novel approach for transferring dexterous assembly skills to robots, while his work on deep reinforcement learning accelerated by demonstrations (18 citations) further advanced autonomous precision insertion. Zhang has also made notable contributions to planetary exploration robotics, experimentally analyzing wheel steering mechanics on deformable terrain (37 citations). More recently, his automated hooking of biomedical microelectrodes guided by intelligent microscopic vision (21 citations) addresses critical challenges in brain-machine interface implantation. With over 260 total citations, Zhang’s research bridges the gap between human skill and robotic precision, impacting fields from manufacturing to healthcare and space exploration.
Research Focus
Key Achievements
Top Papers
- 1Overview of the vascular interventional robot78 citations · 2008
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- 7Adaptive Vision for Playing Table Soccer6 citations · 2004
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- 10A Location Method for the Outdoor Mobile Robot Based on GPS/GIS/GPRS4 citations · 2007