Papers
2
Total Citations
6
H-Index
2
About
Meng Yuan Chen is a robotics researcher whose work focuses on autonomous navigation and multi-robot coordination, with particular emphasis on obstacle avoidance and object tracking in dynamic environments. In their influential 2018 paper, "A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm," Chen developed an innovative framework that combines adaptive clustering with the Morphin algorithm to enable mobile robots to navigate complex terrains safely. This work addresses critical challenges in real-time path planning by dynamically adjusting thresholds based on environmental conditions. Chen's second major contribution, "Covariance intersection multirobot object tracking algorithm based on self-adaption SR-CKF," tackles numerical instability and computational inefficiency in multi-robot systems. By introducing an adaptive square-root cubature Kalman filter with covariance intersection fusion, Chen significantly improved tracking precision while reducing computational load—a vital advancement for distributed robotic networks. Though early in their career, Chen's research demonstrates strong potential to impact autonomous systems, with both papers accumulating 3 citations each as foundational contributions to mobile robotics and multi-agent coordination.
Research Focus
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Top Papers
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