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About

Renpeng Tan is a robotics researcher specializing in assistive and mobile robotics for healthcare and elderly care. His work focuses on motion control, path tracking, and adaptive algorithms for wheeled mobile robots operating in narrow, complex indoor environments. Tan’s major contributions include developing cushion robots with omnidirectional wheels to support in-room movement for the elderly, excretion care support robots to reduce caregiver burden for bedridden persons, and intelligent walking support machines for rehabilitation. He addresses critical challenges such as load changes, center of gravity shifts, and non-linear friction that degrade path-tracking accuracy. His most cited papers each garnered 6 citations, reflecting steady interest in his practical, application-driven designs. Notably, his 2012 work on adaptive control methods for wheeled mobile robots tackles parameter changes to improve precision, while his 2013 study on digital acceleration control algorithms enhances navigation for care robots. Tan’s research bridges robotics and healthcare, aiming to improve quality of life for aging populations and disabled individuals through safe, reliable autonomous systems.