A Layered Control Perspective on Legged Locomotion: Embedding Reduced Order Models via Hybrid Zero Dynamics
Esteban, Sergio A., Cohen, Max H., Ghansah, Adrian B., Ames, Aaron D.
–arXiv.org Artificial Intelligence
Reduced-order models (ROMs) provide a powerful means of synthesizing dynamic walking gaits on legged robots. Yet this approach lacks the formal guarantees enjoyed by methods that utilize the full-order model (FOM) for gait synthesis, e.g., hybrid zero dynamics. This paper aims to unify these approaches through a layered control perspective. In particular, we establish conditions on when a ROM of locomotion yields stable walking on the full-order hybrid dynamics. To achieve this result, given an ROM we synthesize a zero dynamics manifold encoding the behavior of the ROM -- controllers can be synthesized that drive the FOM to this surface, yielding hybrid zero dynamics. We prove that a stable periodic orbit in the ROM implies an input-to-state stable periodic orbit of the FOM's hybrid zero dynamics, and hence the FOM dynamics. This result is demonstrated in simulation on a linear inverted pendulum ROM and a 5-link planar walking FOM.
arXiv.org Artificial Intelligence
Sep-3-2025
- Country:
- Europe > United Kingdom
- England > Oxfordshire > Oxford (0.04)
- North America > United States
- California > Los Angeles County > Pasadena (0.04)
- Europe > United Kingdom
- Genre:
- Research Report > New Finding (0.34)
- Industry:
- Energy (0.47)
- Technology:
- Information Technology > Artificial Intelligence > Robots > Locomotion (1.00)