Tongrui Peng
Papers
1
Total Citations
76
H-Index
1
About
Tongrui Peng is a robotics and autonomous systems researcher whose work focuses on improving the navigation and path-planning capabilities of autonomous ground vehicles (AGVs) in complex environments. His most cited contribution, "An Improved Timed Elastic Band (TEB) Algorithm of Autonomous Ground Vehicle (AGV) in Complex Environment" (2021, 76 citations), addresses a critical limitation in the widely used TEB local path planning algorithm. Peng identified that the standard TEB algorithm often makes inefficient local detours during curve turns, leading to excessive energy consumption. To solve this, he proposed an enhanced version that optimizes trajectory smoothness and energy efficiency without sacrificing real-time performance. This work has been influential in the field of mobile robotics, providing a practical improvement for AGVs operating in warehouses, factories, and other constrained settings. Peng’s research demonstrates a keen ability to identify real-world bottlenecks in established algorithms and deliver computationally efficient solutions, making his work highly cited by engineers and researchers seeking to deploy more reliable and energy-conscious autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1