Gen-Ping Ren

Papers

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About

Gen-Ping Ren is a robotics researcher whose work centers on human-robot interaction, low-cost sensing, and autonomous mobile robot navigation. His most notable contribution is the development of a human-following mobile robot system that leverages inexpensive infrared sensors, as detailed in his 2014 paper, which has garnered 2 citations. In this work, Ren pioneered a practical approach to enabling robots to detect and track a human target’s direction and distance using a compact, coded IR transmitter/receiver pair, while also integrating motion generation with obstacle avoidance. This research demonstrates a cost-effective alternative to more expensive sensor systems, making human-following capabilities more accessible for real-world applications. Ren’s contributions highlight the importance of system-level integration and sensor optimization in robotics, offering valuable insights for students and researchers interested in affordable, functional human-robot collaboration.