Chun Tao Leng

Papers

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About

Chun Tao Leng is a robotics researcher whose work focuses on assistive and autonomous mobile systems for real-world applications. His key research areas include walking assistant robots for the elderly, mobile robot localization, and omnidirectional automated guided vehicles (AGVs). Leng’s major contribution lies in the development of practical robotic platforms that enhance mobility and autonomy. His most cited paper, “The Development of Walking Assistant Robot for the Elderly” (2011, 7 citations), introduces three prototypes of Walking Assistant Robots (WARs), comparing their mechanical and control structures, with a focus on force-sensing modules for safe human-robot interaction. This work addresses critical needs in aging populations. Additionally, his study on Zigbee-based location systems for mobile robots (2014, 4 citations) explores wireless communication for accurate positioning, while his development of an omnidirectional AGV with a global localization system (2013, 2 citations) demonstrates innovation in narrow-space navigation using mecanum wheels and accelerometer-based localization. Though citation counts are modest, Leng’s research represents foundational steps in assistive robotics and industrial automation, emphasizing practical design and sensor integration. His work is notable for bridging mechanical engineering and control systems to create user-centered robotic solutions.