Guilin Qi

Southeast University, Queen's University Belfast

Papers

Total Citations

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About

Guilin Qi is a leading researcher at the intersection of artificial intelligence, robotics, and knowledge representation, with a particular focus on uncertainty reasoning and autonomous systems. His work has been instrumental in advancing how robots interpret and act upon complex, real-world information. A key contribution is his pioneering application of evidential reasoning—a powerful framework for handling uncertainty—to autonomous robot control. His 2007 paper on this topic, which has garnered over 2 citations, demonstrated a novel finite state machine architecture that allowed a Khepera robot to make robust decisions under ambiguous conditions, laying foundational groundwork for more resilient robotic systems. More recently, Qi has tackled the grand challenge of long-horizon robotic task planning. His 2024 paper, "MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model," has already accumulated over 15 citations, signaling its immediate impact. This work introduces a groundbreaking method that leverages open-source large language models (LLMs) to decompose complex, multi-step tasks into manageable sub-tasks, significantly advancing the capability of robots to plan and execute sophisticated operations without relying on proprietary AI systems.