Papers

2

Total Citations

13

H-Index

2

About

Yaolei Shen is a robotics researcher focused on bio-inspired locomotion and aerial manipulation, with key contributions in miniature jumping robots and cable-suspended aerial systems. His early work on locust-inspired jumping robots (2018, 7 citations) introduced a six-bar mechanism that enables controlled, repeatable jumps in unstructured terrain, addressing the challenge of landing dispersion in miniature robots. This design, validated through prototype experiments, offers a practical solution for search-and-rescue and environmental monitoring in cluttered environments. More recently, Shen has advanced the control of aerial robots carrying flexible cables (2025, 6 citations), developing a spectral method-based optimal boundary control framework that models the quadrotor-cable system using partial differential equations. This work enables precise dynamic shape control of the cable, a critical capability for tasks like payload delivery and infrastructure inspection. By bridging bio-inspired design and sophisticated PDE-based control, Shen demonstrates versatility across both mechanical innovation and theoretical modeling. His research holds promise for expanding the operational capabilities of small-scale robots in complex, real-world settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Design of a locust-inspired miniature jumping robot
7 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Northwestern Polytechnical University, University of Twente

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago