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

5
H-Index
5
Papers
107
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
The Autonomous Pipeline Navigation of a Cockroach Bio-Robot with Enhanced Walking Stimuli
55 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Scuola Superiore Sant'Anna, Harbin Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago