Jiadi Qu
Papers
10
Total Citations
124
H-Index
7
About
Dr. Jiadi Qu is a leading researcher in the field of robotic manipulation, with a primary focus on dual-arm coordination, visual servoing, and adaptive control for complex robotic systems. Her work is distinguished by its practical approach to solving fundamental challenges in robotics, particularly for redundant and free-floating platforms. Dr. Qu’s most impactful contribution is her pioneering work on human-like coordination motion learning for redundant dual-arm robots, which has garnered 45 citations and provides a framework for more intuitive and efficient robotic collaboration. She has also made significant advances in dynamic visual tracking, developing an adaptive fading Kalman filter to maintain robust robot control even when visual features are temporarily occluded (20 citations). Her research portfolio further includes robust adaptive control for free-floating space robots (12 citations) and adaptive neural network visual servoing for cyclic dual-arm motions (11 citations), addressing critical issues like joint-angle drift. Dr. Qu has also contributed to the development of semi-autonomous surgical robot systems and novel obstacle avoidance methods, demonstrating the breadth of her expertise. Her work is essential reading for anyone interested in advancing the autonomy and dexterity of robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Human-like coordination motion learning for a redundant dual-arm robot45 citations · 2019
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- 4Adaptive neural network visual servoing of dual-arm robot for cyclic motion11 citations · 2017
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- 9Multi-cameras visual servoing for dual-arm coordinated manipulation6 citations · 2017
- 10An enhanced pose tracking method using progressive scan matching3 citations · 2019