Jinpeng Liu

China Electronics Technology Group Corporation, Beijing Institute of Technology

Papers

Total Citations

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About

Jinpeng Liu’s research lies at the intersection of mobile robotics and artificial intelligence, with a primary focus on path planning and robust simultaneous localization and mapping (SLAM) in dynamic environments. His most influential work, “Path Planning of Mobile Robot Based on Improved Multiobjective Genetic Algorithm,” has garnered 52 citations and addresses critical challenges in autonomous navigation—namely, slow response times, unsafe trajectories, and excessive turns. By optimizing multiobjective genetic algorithms, Liu’s approach enables faster, safer, and more efficient path generation for mobile robots, directly advancing real-world deployment in complex settings. In parallel, his work on DOC-SLAM (Dynamic Object Culling SLAM), cited 7 times, tackles the persistent problem of camera trajectory estimation in highly dynamic scenes. By integrating semantic information to identify and cull moving objects, DOC-SLAM significantly improves SLAM accuracy in environments cluttered with pedestrians or vehicles. Together, these contributions demonstrate Liu’s commitment to bridging theoretical optimization with practical robotic perception, making his research valuable for students and engineers working on autonomous systems, from warehouse logistics to self-driving vehicles.