Gongyan Li

Shandong Institute of Automation, Chinese Academy of Sciences

Papers

Total Citations

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About

Gongyan Li is a researcher whose work bridges the critical domains of autonomous robotics and intelligent logistics. His early, foundational research established a novel approach to 3D stereo vision simultaneous localization and mapping (SLAM) for mobile robots in unknown outdoor environments. By leveraging a Rao-Blackwellised particle filter, his 2008 work enabled a robot to estimate its 6-DOF motion and construct a persistent map of natural landmarks in real-time using only a stereo camera, a significant contribution to autonomous navigation. This pioneering paper has garnered 7 citations, reflecting its lasting influence on the field of visual SLAM. More recently, Li has applied his expertise in complex systems to the pressing challenges of modern logistics. His 2025 work introduces a hybrid MCMF–NSGA-II framework for energy-aware task assignment in multi-tier shuttle systems (MTSSs). This research directly addresses the complex robotic task allocation problem in automated warehouses, jointly optimizing throughput, energy efficiency, and service quality. By tackling the scheduling of these intricate systems, Li is contributing to the next generation of smart logistics, demonstrating a clear trajectory from foundational robotics to applied, high-impact industrial solutions.