Papers
5
Total Citations
107
H-Index
5
About
Lingqi Tang is an emerging robotics researcher whose work sits at the fascinating intersection of bio-inspired systems, miniature robotics, and autonomous control. Specializing in insect-scale and bio-hybrid robotic platforms, Tang has made significant contributions to some of the most challenging frontiers in small-scale robotics, including locomotion control, trajectory accuracy, and practical deployment in confined environments. Tang's research on cockroach bio-robots has garnered notable attention, with a 2023 paper on autonomous pipeline navigation accumulating 55 citations — demonstrating the real-world relevance of bio-hybrid systems that outperform purely artificial robots in flexibility, payload capacity, and endurance. Complementing this, Tang has tackled the miniaturization bottleneck in crawling robots, developing a single-motor platform capable of multidirectional planar motion through microscopic galumphing (19 citations). Particularly impressive is Tang's sustained focus on miniature jumping robots. From SMA-driven feedback trajectory control to the omnidirectional Moobot origami platform, Tang's work has pushed insect-scale jumping robots toward genuine precision navigation — a milestone previously unachieved at this scale. The locust-inspired continuous jumping system further extends this trajectory into dynamic, obstacle-rich environments. With a growing citation record, Tang represents a compelling voice in next-generation micro-robotics research.
Research Focus
Key Achievements
Top Papers
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- 4The Feedback Trajectory Control of a SMA-Driven Miniature Jumping Robot10 citations · 2022
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