Bai-fan Chen

Papers

Total Citations

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About

Dr. Bai-fan Chen is a robotics researcher whose work has centered on autonomous navigation and perception for mobile robots operating in unknown environments. His primary contributions lie in the development of simultaneous localization and mapping (SLAM) techniques and path-planning algorithms that enable robots to build maps and navigate without prior knowledge of their surroundings. In his 2006 paper, "Approach of simultaneous localization and mapping based on local maps for robot," Chen introduced a method for constructing local maps to improve SLAM efficiency, a foundational concept that has informed subsequent research in the field. His 2008 work, "A Mobile Robot Path-planning Approach under Unknown Environments," further advanced adaptive path-planning strategies, addressing the critical challenge of real-time obstacle avoidance in unstructured settings. While his most-cited papers have garnered modest citation counts—3 and 2 respectively—they represent early, practical steps toward robust autonomous robotics. Chen’s research is particularly valuable for students and engineers exploring the intersection of mapping, localization, and motion planning, offering clear, implementable solutions that bridge theory and application in mobile robotics.