Weiyao Lan
Papers
6
Total Citations
29
H-Index
2
About
Weiyao Lan is a robotics researcher whose work spans space robotics, legged locomotion, and multi-robot coordination. His most impactful contribution is an acceleration-level trajectory planning method for dual-arm space robots, which achieves base disturbance rejection while respecting joint-angle, velocity, and acceleration constraints—critical for pre-capturing tasks in orbit. This work has garnered 18 citations, reflecting its relevance to the space robotics community. Lan has also advanced quadrupedal robotics, developing a nonlinear model predictive control framework for autonomous, safety-critical stair climbing that simultaneously optimizes body and leg movements, as well as a composite nonlinear feedback and MPC approach for gait stability. In multi-robot systems, he has addressed leader-follower formation tracking under challenging conditions, including position-denied environments and unknown leader velocities, using visual observer-based and distributed control methods. His recent work on optimal path planning with opacity-preserving temporal logic specifications introduces privacy-aware mission planning for robotic systems. Lan’s research demonstrates a strong focus on real-world constraints—physical limits, safety, and information uncertainty—making his contributions valuable for autonomous systems operating in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Acceleration-level trajectory planning for a dual-arm space robot18 citations · 2019
- 2
- 3
- 4
- 5
- 6