Zhongyuan Deng

Southwest University of Science and Technology

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About

Zhongyuan Deng is a robotics researcher specializing in multi-robot systems, simultaneous localization and mapping (SLAM), and formation control in unknown environments. His major contributions lie in developing distributed SLAM solutions using Ultra-WideBand (UWB) ranging and odometry measurements, addressing the limitations of LiDAR-based approaches in featureless settings. Deng’s 2022 paper on distributed ranging SLAM for multiple robots has garnered 23 citations, highlighting its impact on enabling efficient task execution in multi-robot teams. More recently, his 2024 work introduces a reconfigurable leader-follower formation approach that leverages UWB ranging and nonlinear optimization for relative pose estimation, allowing robot teams to maintain geometric patterns and navigate narrow spaces. This work demonstrates Deng’s ability to tackle practical challenges in unknown environments, with applications in search-and-rescue, exploration, and industrial automation. His research is notable for advancing robust, scalable solutions that reduce reliance on expensive sensors, making multi-robot coordination more accessible. Deng’s work continues to influence the fields of distributed robotics and autonomous navigation, offering innovative pathways for cooperative robot teams.