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About

Dr. Tian Wang is a leading researcher at the intersection of human–robot interaction (HRI), multimodal AI, and smart manufacturing. Their work centers on developing intelligent, human-centric systems that enable seamless collaboration between humans and robots in industrial environments. Dr. Wang’s major contributions include pioneering the use of large language models (LLMs) and vision-language models (VLMs) for robot navigation and task execution, as demonstrated in their highly cited 2024 paper on LLM-based cobot navigation (117 citations) and a comprehensive 2025 survey on VLM-driven human-robot collaboration (27 citations). Their landmark 2023 survey on multimodal HRI for smart manufacturing (151 citations) has become a foundational reference, systematically mapping the challenges and opportunities in integrating vision, language, and touch-based communication for safer and more efficient manufacturing. Dr. Wang’s work is notable for bridging cutting-edge AI with practical industrial applications, earning recognition for advancing the paradigm of human-centric automation. With over 295 total citations across these key works, their research continues to shape the future of collaborative robotics and intelligent manufacturing systems.