One-shot Video Imitation via Parameterized Symbolic Abstraction Graphs

Understand

Learning to manipulate dynamic and deformable objects from a single demonstration video holds great promise in terms of scalability.

• Previous approaches have predominantly focused on either replaying object relationships or actor trajectories.
• The former often struggles to generalize across diverse tasks, while the latter suffers from data inefficiency.
• Moreover, both methodologies encounter challenges in capturing invisible physical attributes, such as forces.