Robotic creatures are capable of entering hazardous environments instead of human
workers, but it is challenging to develop a fully autonomous agent that can work …

We present a new approach for understanding the periodicity structure and semantics of
motion datasets, independently of the morphology and skeletal structure of characters …

Estimating the region of attraction (RoA) for a robot controller is essential for safe application
and controller composition. Many existing methods require a closed-form expression that …

Motion trajectories offer reliable references for physics-based motion learning but suffer from
sparsity, particularly in regions that lack sufficient data coverage. To address this challenge …

Reinforcement learning requires large amounts of training data. For many systems,
especially mobile robots, collecting this training data can be expensive and time consuming …