Yunlong Yao
Papers
1
Total Citations
3
H-Index
1
About
Yunlong Yao is a robotics researcher whose work centers on the modeling and control of novel, bio-inspired robotic systems, with a particular focus on tensegrity structures. His major contribution lies in the dynamic analysis and gait control of six-strut spherical tensegrity robots—a class of lightweight, compliant, and highly deformable robots that mimic the structural principles of biological skeletons. In his most-cited work (2024, 3 citations), Yao established a rigorous dynamic model using Newton-Euler equations and validated it through co-simulations in MATLAB and ADAMS, demonstrating effective crawling gait control. This foundational research addresses key challenges in the locomotion of tensegrity robots, which have potential applications in planetary exploration, search-and-rescue, and soft robotics. Though early in his citation impact, Yao’s work represents a critical step toward practical deployment of these unconventional robots, combining theoretical rigor with simulation-based validation. His research is particularly valuable for students and engineers interested in non-traditional robot morphologies, compliant mechanisms, and the intersection of structural engineering with control theory.
Research Focus
Key Achievements
Top Papers
- 1