Youg Jen Wen

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About

Youg Jen Wen is a robotics researcher whose work centers on low-cost, practical sensor systems for mobile robot navigation and human-robot interaction. His key contributions lie in developing infrared (IR)-based target following technologies that enable mobile robots to autonomously track and follow human subjects without expensive LIDAR or vision systems. In his most cited work, "Infrared sensor based target following device for a mobile robot" (2011, 5 citations), Wen introduced a coded IR transmitter/receiver pair that reliably detects target direction and distance while rejecting environmental noise. He extended this foundation in "Human Following on a Mobile Robot by Low-cost Infrared Sensors" (2014, 2 citations), integrating obstacle avoidance algorithms and complete system-level design for human-following robots. Though his citation counts are modest, Wen's research is notable for demonstrating that robust human-following capabilities can be achieved with simple, affordable hardware—a finding with implications for assistive robotics, service robots, and educational platforms. His work exemplifies how clever algorithm design can compensate for sensor limitations, making autonomous following accessible to researchers and developers with constrained budgets.