Peng Teng
Papers
1
Total Citations
4
H-Index
1
About
Peng Teng has made notable contributions to the field of robotics, with a primary focus on snake robot locomotion and obstacle avoidance. His key research areas include bio-inspired robotics, motion planning, and autonomous navigation in constrained environments. Teng’s most cited work, "2D obstacle avoidance method for snake robot based on modified artificial potential field" (2017), addresses the unique challenges posed by multi-joint, highly redundant snake robots. By enhancing the traditional artificial potential field method—known for its computational simplicity and real-time performance—he proposed a novel approach that improves the robot’s ability to navigate cluttered spaces safely and efficiently. This work has garnered attention from the robotics community, accumulating 4 citations and laying groundwork for further studies in serpentine robot control. Teng’s research is particularly valuable for applications in search-and-rescue, inspection, and exploration, where snake robots offer distinct advantages over conventional wheeled or legged systems. His contributions reflect a thoughtful integration of theoretical modeling with practical implementation, offering students and researchers a clear pathway to understanding motion planning in high-degree-of-freedom systems.
Research Focus
Key Achievements
Top Papers
- 1