Weiping Qian
Papers
3
Total Citations
35
H-Index
3
About
Weiping Qian is a leading researcher in space robotics and human-robot interaction, with a focus on inverse kinematics (IK) and obstacle avoidance for redundant manipulators. Their major contributions include developing novel computational methods for space robots with controlled-floating bases, where traditional momentum conservation assumptions no longer apply, significantly expanding the degrees-of-freedom and redundancy management in these systems. Qian’s work on a backward quadratic search algorithm for obstacle avoidance reduces computational burden by eliminating the need for time-consuming closest-point calculations at every step, offering a more efficient solution for real-time applications. In human-robot collaboration, they have advanced teleoperation by modeling human stochastic closed-loop behavior using multi-Leap-Motion sensors, enhancing master-slave system performance. With over 35 citations across their most-cited papers, Qian’s research has practical implications for space exploration, industrial automation, and assistive robotics. Their innovative approaches to IK resolution and human-robot feedback loops are notable achievements, providing foundational tools for designing safer, more responsive robotic systems in complex environments.
Research Focus
Key Achievements
Top Papers
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