Kung-Han Chen

Papers

Total Citations

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About

Kung-Han Chen is a robotics researcher whose work centers on autonomous mobile robot systems, robot operating system (ROS) integration, and intelligent navigation technologies. His research has made meaningful contributions to the field of autonomous robotics, particularly in developing systems capable of simultaneous map generation and path planning in unknown environments. Chen's most recognized work focuses on leveraging the Robot Operating System platform to enable mobile robots to autonomously construct maps and navigate complex environments without prior spatial knowledge. His 2018 paper on auto-map generation through self-path generation in ROS-based navigation, his most cited work with 5 citations, demonstrates a practical approach to concurrent mapping and path planning — a critical challenge in real-world robotics deployment. A complementary 2018 study further advanced highly autonomous visualization map-generation systems, combining simulation tools with physical robot implementation. Beyond navigation systems, Chen has explored multi-robot coordination, as evidenced by his work on task allocation design for autonomous soccer robots, showcasing his breadth of interest across cooperative robotic systems. While his citation counts reflect an emerging body of work, his research addresses foundational challenges in autonomous robotics that have significant implications for service robots, industrial automation, and intelligent transportation systems.