Li-Che Chen

Kao Yuan University, National Taiwan University of Science and Technology

Papers

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About

Li-Che Chen is a researcher specializing in optimization algorithms for multi-robot systems and automated manufacturing. His work focuses on solving complex task sequencing and dispatching problems in constrained environments, with particular emphasis on robotic arm motion planning and multi-robot coordination. Chen’s most notable contribution is the development of an inheritance-based particle swarm optimization (PSO) algorithm for the robot-arm multi-point manufacturing sequence (RAMMS) problem, effectively addressing the traveling salesman problem (TSP) variant in industrial robotics. His 2017 paper on this topic has garnered 3 citations, while his earlier 2009 work on multi-robot dispatching—which integrates k-means clustering and Steiner tree properties to reduce response times in geographically constrained settings—has received 2 citations. Though his citation counts are modest, Chen’s research demonstrates practical significance in improving task-execution efficiency for robotic systems, particularly in manufacturing and logistics applications. His work bridges theoretical optimization with real-world robotic coordination challenges, offering valuable insights for researchers exploring swarm robotics, task allocation, and path planning in industrial automation.