Lingfeng Qiao
Papers
5
Total Citations
134
H-Index
3
About
Dr. Lingfeng Qiao is a leading researcher at the intersection of soft robotics and intelligent control, with a primary focus on developing bio-inspired flexible manipulators for complex tasks such as on-orbit servicing and object grasping. His most impactful work includes a highly cited overview of soft robotics for space applications (54 citations), which established foundational design principles for this emerging field. Dr. Qiao pioneered the integration of shape memory alloy (SMA) actuators with reinforcement learning, as demonstrated in his 2020 paper on distance-directed target searching for deep visual servo control (50 citations). His recent breakthrough—the inchworm-snake inspired flexible robotic manipulator (26 citations)—achieves a novel hybrid of rigid and flexible materials, enabling both stability and compliant behavior for precise grasping. Beyond soft robotics, Dr. Qiao has contributed to image processing through multiband fusion techniques. His work on forward and inverse kinematics of SMA-driven manipulators provides essential mathematical frameworks for the field. With a growing citation record and a clear trajectory toward space-ready soft robotic systems, Dr. Qiao’s research is shaping the future of adaptive, intelligent manipulation in extreme environments.
Research Focus
Key Achievements
Top Papers
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- 4Multiband image fusion using total generalized variation regularization2 citations · 2021
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