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About

Raymond Oung’s research lies at the intersection of modular robotics, medical devices, and multi-agent systems, with a focus on creating adaptable, miniaturized technologies for real-world impact. His early work pioneered magnetic self-assembly for swallowable modular robots, a concept that could transform minimally invasive procedures like targeted drug delivery and surgical interventions—a paper that has garnered 47 citations and remains foundational in the field. Oung further advanced this vision by identifying opportunities and challenges in assembling reconfigurable endoluminal surgical systems, contributing 31 citations to the next generation of robotic capsules. Beyond medicine, he developed a parameterized control methodology for modular flying vehicles, enabling scalable, configuration-adaptive flight control. In multi-agent robotics, Oung proposed a generalized rendezvous algorithm using only bearing information and limited sensing range, allowing mobile agents to coordinate efficiently in bounded spaces—a contribution with 12 citations that addresses fundamental challenges in swarm robotics. His work demonstrates a rare ability to bridge theoretical control design with practical biomedical applications, making him a notable figure in modular and medical robotics.