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About

Yoong Choon Chang is an emerging researcher specializing in the Internet of Robotic Things (IoRT), multi-robot systems, and intelligent resource allocation for next-generation communication networks. His work sits at the intersection of robotics, wireless communications, and artificial intelligence, with a particular focus on applying deep reinforcement learning techniques to solve complex real-world challenges. Chang's most significant contribution to date is his highly cited 2023 survey on the Internet of Robotic Things for mobile robots, which has garnered an impressive 91 citations and has become a key reference for researchers exploring how communication technologies, sensors, and computing power can be integrated to advance multi-robot systems. Beyond this foundational work, he has pioneered the application of advanced reinforcement learning algorithms — notably Twin Delayed Deep Deterministic Policy Gradient (TD3) — to dynamic power allocation and mobility-aware resource management in IoRT networks. A particularly noteworthy dimension of his research addresses post-disaster communications, demonstrating a commitment to socially impactful applications where autonomous robotic systems can support search and rescue operations during natural disasters. Chang's growing body of work positions him as a promising voice in the rapidly evolving field of intelligent networked robotics.