Bo-chen Li

Inner Mongolia University of Technology, Mongolian University of Science and Technology

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About

Bo-chen Li is a researcher focused on advancing autonomous navigation for mobile robots and automated guided vehicles (AGVs), with key contributions in simultaneous localization and mapping (SLAM) and path planning. Li’s most cited work, “An Improved Particle Filter SLAM Algorithm for AGVs” (2020, 6 citations), tackles the computational inefficiency and poor real-time performance of traditional particle filters, proposing an improved algorithm that enhances localization accuracy while reducing processing overhead. This work directly addresses practical challenges in industrial robotics, where AGVs require reliable, fast mapping in dynamic environments. In a second influential paper, “Research on Navigation and Path Planning of Mobile Robot Based on Vision Sensor” (2020, 4 citations), Li introduces an enhanced ORB-SLAM2 algorithm that leverages visual sensors for autonomous positioning and map construction in unknown settings, enabling more robust obstacle avoidance and path planning. Together, these contributions demonstrate Li’s commitment to making SLAM algorithms more efficient and applicable to real-world robotics, particularly in vision-based systems. Though early in their career, Li’s focused work on improving core SLAM techniques holds promise for advancing the field of mobile robot autonomy.