Bingyin Ren
Papers
8
Total Citations
393
H-Index
6
About
Bingyin Ren is a pioneering roboticist whose research spans intelligent manufacturing, surgical robotics, and biomimetic locomotion. Ren’s most influential work addresses the critical challenge of autonomous path planning for robotic manipulators in dynamic, human-robot collaborative environments. The seminal paper “A Method on Dynamic Path Planning for Robotic Manipulator Autonomous Obstacle Avoidance Based on an Improved RRT Algorithm” (2018) has garnered 244 citations, establishing a foundational approach for safe and efficient factory automation. In surgical robotics, Ren has made transformative contributions to laparoscope systems, developing cable-pulley modeling for position compensation control (55 citations) and FBG-based tension sensors for precise force estimation in sterilization-compatible designs (46 citations). These innovations enable intuitive, ergonomic hand-held surgical robots with accurate master-slave motion mapping. Earlier work on modular combinational gorilla robots—capable of both bipedal and quadrupedal locomotion—demonstrates Ren’s versatility in bio-inspired design. Collectively, Ren’s research bridges theoretical modeling with practical mechatronic systems, advancing both industrial autonomy and minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
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- 6Development of Modular Combinational Gorilla Robot System7 citations · 2005
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