Papers
23
Total Citations
574
H-Index
13
About
Qi Zhu is a leading researcher at the intersection of robotics, artificial intelligence, and civil engineering, whose work is redefining how construction tasks are automated and controlled. His primary research areas include robot teleoperation, human-robot interaction, and embodied AI for construction. Zhu’s major contributions lie in developing intuitive and safe teleoperation systems, notably integrating virtual reality and deep learning for scene reconstruction—a breakthrough that has garnered 146 citations. He pioneered the RoboGPT framework, which leverages ChatGPT for automated sequence planning in construction assembly, earning 89 citations and demonstrating the power of large language models in robotics. His innovative use of neurobehavioral assessment and haptic feedback has advanced force feedback simulation, while his work on human hand motion prediction and eye-tracking enhances operator safety and cognitive load management. Zhu’s DEXBOT framework, focused on dexterity-capable construction robots, represents a forward-looking effort to bring embodied AI into real-world building sites. With over 470 total citations and a growing portfolio of high-impact publications, Qi Zhu is shaping the future of intelligent, human-aware construction robotics.
Research Focus
Key Achievements
Top Papers
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- 4Upper-body haptic system for snake robot teleoperation in pipelines39 citations · 2022
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- 6Embodied AI for dexterity-capable construction Robots: DEXBOT framework24 citations · 2024
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