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About

Yujun Lai is a pioneering researcher at the intersection of robotics, human-robot interaction, and artificial intelligence, with a focus on making robotic systems more intuitive, intelligent, and accessible. His work centers on three key areas: integrating large language models (LLMs) into robot task planning and control, developing immersive virtual reality (VR) interfaces for human-robot collaboration, and advancing physical human-robot interaction (pHRI) for rehabilitation and assistive technologies. Lai’s most impactful contribution is his 2024 paper on multi-layer LLMs for robot task execution, which has garnered 18 citations and addresses critical limitations in using LLMs for complex, real-world tasks. He also introduced GAVRe², a data-driven VR gamification framework for upper-limb rehabilitation that combines haptic feedback with adaptive game mechanics, earning 12 citations. His 2020 work on VR-based control of mobile manipulators (14 citations) and his 2022 study on user intent estimation via pHRI primitives (13 citations) further demonstrate his ability to bridge human cognition and robotic action. Lai’s research has been recognized for its practical impact in healthcare and industrial automation, and his recent explorations into hierarchical LLM architectures for heterogeneous robot clusters signal a forward-looking approach to scalable, collaborative AI.