4 accepted papers
Recent work has demonstrated how one can write high-level specifications for swarm behaviors and automatically create controllers for the individual robots to achieve the overall swarm task. In this paper, we address the question of how to modify, during execution, the desired behavior while maintai
Recent work has demonstrated how one can write high-level specifications for swarm behaviors and automatically create controllers for the individual robots to achieve the overall swarm task. In this paper, we address the question of how to modify, during execution, the desired behavior while maintai…
Generalization to novel object configurations and instances across diverse tasks and environments is a critical challenge in robotics. Keypoint-based representations have been proven effective as a succinct representation for capturing essential object features, and for establishing a reference fram
Learning from Observation (LfO) aims to imitate experts by learning from state-only demonstrations without requiring action labels. Existing adversarial imitation learning approaches learn a generator agent policy to produce state transitions that are indistinguishable to a discriminator that learn…