Yixiang Lim

Papers

Total Citations

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About

Yixiang Lim is a leading researcher in human-autonomy teaming and multi-agent systems, with a particular focus on adaptive human-robot interactions for unmanned aerial vehicles (UAVs). His work addresses the critical challenge of enabling a single human operator to effectively supervise and coordinate multiple autonomous drones—a paradigm known as one-to-many (OTM) operation. Lim’s most-cited paper, “Adaptive Human-Robot Interactions for Multiple Unmanned Aerial Vehicles” (2021, 46 citations), introduces novel frameworks that dynamically adjust the level of autonomy and information presentation based on operator workload and mission context. This contribution is foundational for advancing scalable, safe, and efficient UAV swarm operations in domains like search-and-rescue, surveillance, and disaster response. Beyond this flagship work, Lim’s research integrates cognitive engineering, control theory, and machine learning to design intuitive interfaces and decision-support tools. His achievements include developing real-time adaptation algorithms that reduce operator error and improve mission performance. With a growing citation footprint, Lim is shaping the future of human-swarm interaction, making complex multi-UAV systems accessible and reliable for real-world deployment.