Bojun Ma

Papers

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About

Bojun Ma is a pioneer in mobile robotics, with a career dedicated to solving fundamental challenges in autonomous navigation and localization. His most influential work, "A modified artificial potential field algorithm for mobile robot path planning" (2008), has garnered 26 citations and remains a cornerstone in the field. In this paper, Ma addressed the notorious local minima problem in classical artificial potential field (APF) methods by introducing a novel approach combining robot regression and potential field filling. This innovation enables robots to escape dead zones and navigate complex environments more reliably, making it a go-to reference for researchers tackling real-world path planning. Beyond path planning, Ma has contributed to localization, as seen in his particle filtering method using sonar data (2008), which leverages Bayesian filtering and Markov processes to estimate robot position with high accuracy. His work bridges theory and practice, offering robust solutions for mobile robot autonomy. With a focus on overcoming algorithmic limitations, Ma’s research continues to inspire advances in robotics, particularly for applications requiring safe and efficient navigation in dynamic settings.