Xiumin Diao

Xiumin Diao is an Associate Professor at Purdue University's School of Engineering Technology, specializing in robotics and mechatronic systems for healthcare and manufacturing applications. His work emphasizes human-robot interaction, control algorithms, and energy-efficient UAV designs.

• Education: Ph.D. in Mechanical Engineering (2007, New Mexico State University)
• M.S. in Measurement Technology and Automatic Device (2003, Beihang University)
• B.S. in Mechanical Design and Manufacturing (2000, Yantai University)

Research focuses on cable-driven parallel robots, reinforcement learning, and intention prediction using neural networks. Recent publications explore stiffness analysis, UAV arm rotation efficiency, and hybrid control strategies.

Key trends in his work include:

• Advancing adaptive control for robots with unknown dynamics
• Optimizing energy efficiency in aerial robotics
• Applying deep learning to human motion understanding

His lab develops hardware-in-the-loop microgravity simulators and rehabilitation devices, with applications in disaster exploration and satellite docking.