Papers
3
Total Citations
24
H-Index
2
About
Dr. Hua Hu is a leading researcher in robotics and automation, with a primary focus on intelligent perception, adaptive control, and soft actuation for high-speed industrial and bio-inspired systems. Dr. Hu’s major contributions span three key areas: robust visual detection, advanced parallel robot control, and multimodal soft robotics. Notably, their work on a YOLO-based detection and localization strategy for robot sorting under complex lighting conditions (2023, 11 citations) addresses critical challenges in automated manufacturing. In parallel, Dr. Hu developed a robust adaptive control framework for a bimanual 3T1R parallel robot using a gray-box model and prescribed performance function (2023, 11 citations), significantly improving transient response and throughput for high-speed pick-and-place tasks—a breakthrough for direct-drive actuation with large translational workspaces. More recently, Dr. Hu has pioneered the study of multimodal resonances in rectangular planar dielectric elastomer actuators (2024, 2 citations), demonstrating that beyond first-order resonance, higher-order modes can enhance power conversion efficiency in soft bristle robots, inspired by flying insects. With a growing citation impact, Dr. Hu’s work bridges theory and application, offering innovative solutions for next-generation robotics in manufacturing and soft robotics.
Research Focus
Key Achievements
Top Papers
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