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About

Howard Li is a prominent robotics researcher whose work spans mobile robotics, autonomous systems, and knowledge representation. Based at the University of New Brunswick, Li has made foundational contributions across two major research pillars: multi-robot simultaneous localization and mapping (SLAM) and ontology-based frameworks for robotics and automation. His highly cited review of multiple-robot SLAM (322 citations) remains a landmark reference for researchers tackling autonomous navigation in GPS-denied environments, while his work on topological map merging offers practical solutions for coordinating robotic teams. Equally influential is his sustained involvement in developing the IEEE Standard Ontologies for Robotics and Automation — a landmark effort to unify knowledge representation across robotic systems — contributing to multiple foundational papers that together have accumulated hundreds of citations. Li's research extends to quadrotor control, demonstrating versatility across aerial and ground-based platforms. More recently, his work on robotics and intelligent systems during the COVID-19 pandemic (115 citations) showcased the real-world urgency of autonomous systems in crisis response. With over 1,000 cumulative citations across his most influential papers, Li's contributions continue shaping how robots perceive, reason, and operate intelligently in complex, real-world environments.