Chin-Hsuan Sun
Papers
1
Total Citations
2
H-Index
1
About
Chin-Hsuan Sun is a rising researcher in the field of autonomous systems and robotics, with a focused interest in the optimization and configuration of last-mile delivery networks. Their work addresses the critical challenge of balancing operational efficiency, cost, and environmental impact in autonomous delivery robot systems. Sun’s most notable contribution, detailed in their 2024 paper "Alternating Between Surrogate Model Construction and Search for Configurations of an Autonomous Delivery System," introduces a novel computational framework that alternates between surrogate modeling and search algorithms to optimize system configurations—a method that directly tackles the trade-offs between delivery rate, robot operation costs, and required monitoring. This work has already garnered early citations, signaling its relevance to both academia and industry. By providing a systematic approach to configuring autonomous fleets, Sun’s research holds promise for reducing traffic congestion and pollution while enhancing the economic viability of robotic delivery services. Their contributions are particularly valuable for students and researchers exploring the intersection of optimization, robotics, and sustainable urban logistics.
Research Focus
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Top Papers
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