Jen Yang Chen

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About

Jen Yang Chen is a robotics researcher whose work centers on autonomous navigation and real-time obstacle avoidance systems for wheeled mobile robots. His research explores the integration of sensing technologies to enable robots to intelligently perceive and respond to their environments, with a particular focus on practical implementation strategies. Chen's most notable contribution, "Use of Ultrasonic Sensors to Enable Wheeled Mobile Robots to Avoid Obstacles" (2014), has garnered 16 citations and demonstrates his expertise in deploying ultrasonic sensor arrays — specifically six-sensor configurations — to create robust, real-time obstacle detection and avoidance capabilities. This work highlights his commitment to developing systems that allow robots to continuously monitor their surroundings while navigating toward target destinations. Complementing this, his 2014 study on CMOS image sensor-based obstacle avoidance further broadens his methodological toolkit, examining vision-based approaches for detecting smaller obstacles that ultrasonic systems may overlook. Together, these contributions reflect Chen's dedication to advancing the sensory intelligence of mobile robotic platforms, addressing both range-based and vision-based perception paradigms. His research offers valuable insights for students and engineers working at the intersection of embedded systems, sensor fusion, and autonomous robotics.