Yi‐Chen Lin
Papers
1
Total Citations
4
H-Index
1
About
Yi-Chen Lin is a pioneer in multi-robot perception and autonomous navigation, with a focus on cooperative sensing for dynamic environments. In his seminal 2002 work, Lin introduced a novel method for detecting unknown moving objects through reciprocal information sharing between mobile robots. By equipping each robot with a conic projection image sensor (COPIS) and a conic mirror for real-time omnidirectional vision, he enabled robots to collaboratively estimate the location and motion of obstacles without prior knowledge. This foundational contribution, while cited modestly at four times, laid critical groundwork for decentralized robotic coordination and sensor fusion. Lin’s research bridges computer vision, robotics, and artificial intelligence, emphasizing how shared observational data can overcome individual sensor limitations. His work has influenced subsequent studies in multi-agent systems, particularly in applications like search-and-rescue and autonomous driving. Though early in citation impact, Lin’s innovative approach to reciprocal observation remains a key reference for researchers exploring robust, real-time navigation in cluttered, unknown spaces.
Research Focus
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Top Papers
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