Bijun Li

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Tsinghua University

Papers

Total Citations

189

H-Index

About

Bijun Li is a researcher advancing the field of autonomous mobile robotics, with a primary focus on path planning and localization. Their most impactful work, "A Fast and Efficient Double-Tree RRT$^*$-Like Sampling-Based Planner," has garnered 168 citations, addressing the slow convergence of RRT* algorithms by introducing a novel, faster variant that balances exploration and optimization—a critical contribution for real-time robotic navigation. Li further refines path planning through bio-inspired methods, as seen in their 2023 work on an improved Slime Mould Algorithm, which enhances the efficiency of autonomous mobile robot systems. Beyond planning, Li contributes to spatial intelligence with research on deep localization of static scans in mobile mapping point clouds and landmark-based visual positioning for automatic guided vehicles (AGVs), the latter supporting practical applications in warehouse logistics. Their work bridges theoretical algorithm design and applied robotics, offering solutions that improve both speed and accuracy in dynamic environments. With a growing citation record and a portfolio spanning sampling-based planners to nature-inspired optimization, Li is establishing a reputation for innovative, scalable solutions in mobile robotics and autonomous navigation.