معرفی
Minghui Zheng is an Associate Professor in Mechanical Engineering at Texas A&M University's College of Engineering. His research focuses on human-robot collaboration, robotic motion planning, and learning-based control systems for heterogeneous robots. He leads the Control and Robotics (CtrlRobot) Lab, which develops solutions for disassembly, recycling, and remanufacturing through advanced robotics and AI.
Dr. Zheng holds a Ph.D. from UC Berkeley (2017), an M.S. from Beihang University (2011), and a B.S. from Beihang University (2008). His work integrates machine learning with robotics to address challenges in collaborative environments, including task allocation, real-time human motion prediction, and ergonomic improvements in e-waste handling.
Key research directions include:
- Knowledge-informed motion planning for manipulators
- Uncertainty-aware human behavior modeling
- Cable-driven robotic hand design
- Connected vehicle systems for collaborative estimation
He has received prestigious awards such as the NSF CAREER Award (2021) and the Exceptional Scholar: Young Investigator Award (2023). His lab develops platforms like VR Co-Lab for disassembly training and tools like SIMPNet for spatial-informed motion planning.
Publications span robotics journals and conferences, emphasizing interdisciplinary solutions at the intersection of AI, control theory, and mechanical engineering. Current projects explore multi-task learning, diffusion models for motion prediction, and energy-efficient robotic systems.
