Qihan Chen
Papers
2
Total Citations
71
H-Index
2
About
Qihan Chen is a leading researcher in surgical robotics and autonomous manipulation systems, with a focus on intelligent perception and cooperative control. His work bridges the gap between computer vision and robotic assistance in high-stakes environments like operating rooms and space operations. Chen’s most cited paper, “Autonomous Recognition of Multiple Surgical Instruments Tips Based on Arrow OBB-YOLO Network” (2022, 50 citations), introduces a novel deep learning framework that enables surgical robots to autonomously identify and track instrument tips. This innovation allows endoscopes to adjust in real time, reducing surgeon fatigue and improving image stability—a critical step toward safer, more efficient minimally invasive surgery. In his 2023 work on multi-arm space continuous robots (21 citations), Chen advances cooperative planning and compliant control for target manipulation in zero-gravity conditions, demonstrating versatility across terrestrial and extraterrestrial applications. His contributions have been recognized for their potential to transform robotic assistance, earning him a reputation for developing practical, high-impact solutions. With over 70 combined citations, Chen’s research continues to shape the future of autonomous robotic systems in medicine and space exploration.
Research Focus
Key Achievements
Top Papers
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- 2