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About

Chunlai Peng is a robotics researcher whose work focuses on the critical challenge of coordinating multirobot systems in real-world, unstructured environments. His primary research areas include formation control, nonholonomic systems, and the deployment of autonomous underwater vehicles (AUVs). Peng’s most notable contribution is a novel approach to formation control that leverages Lie group theory on the special Euclidean group to model nonholonomic constraints and sensor measurements directly in robot coordinate frames. This method, detailed in his 2024 paper (11 citations), eliminates the need for a global reference frame, making it particularly effective for LiDAR-based robots operating in GPS-denied environments. Additionally, Peng has made significant strides in underwater robotics, proposing an improved energy-aware and self-adaptive deployment method for AUVs (2019, 4 and 3 citations). This work addresses two critical limitations of existing algorithms: optimizing travel distances to conserve battery life and enabling autonomous adaptation to unknown mission areas. By tackling both the theoretical foundations of multirobot coordination and the practical constraints of underwater deployment, Peng’s research is paving the way for more resilient and efficient robotic systems in exploration, surveillance, and hazardous environment operations.