Teng Peng

Beijing Institute of Technology

Papers

2

Total Citations

35

H-Index

2

About

Dr. Teng Peng is a leading researcher in biomimetic robotics, with a primary focus on the design and control of multi-joint snake-like robots operating in complex aquatic environments. His work uniquely integrates computational fluid dynamics with advanced control theory to solve fundamental challenges in underwater locomotion. Dr. Peng’s major contributions include the development of a 2D underwater obstacle avoidance control algorithm that synergizes the Immersed Boundary-Lattice Boltzmann Method (IB-LBM) with the Artificial Potential Field (APF) method, a novel approach published in 2020 that has garnered 20 citations for its innovative simulation of fluid-structure interactions. He is also recognized for pioneering a trajectory tracking control law based on an improved snake-like curve, enabling precise joint coordination and obstacle navigation within flow fields. This 2019 study, with 15 citations, addresses the critical problem of maintaining stable motion in turbulent waters. By bridging theoretical fluid dynamics with practical robotic control, Dr. Peng’s work provides foundational solutions for autonomous underwater inspection and rescue missions, establishing him as a key contributor to the advancement of soft-bodied, serpentine robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
35
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
2D Underwater Obstacle Avoidance Control Algorithm Based on IB-LBM and APF Method for a Multi-Joint Snake-Like Robot
20 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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