4 accepted papers
End-to-end imitation learning offers a promising approach for training robot policies. However, generalizing to new settings—such as unseen scenes, tasks, and object instances—remains a significant challenge. Although large-scale robot demonstration datasets have shown potential for inducing general…
Expressive robotic behavior is essential for the widespread acceptance of robots in social environments. Recent advancements in learned legged locomotion controllers have enabled more dynamic and versatile robot behaviors. However, determining the optimal behavior for interactions with different use
We consider the problem of Embodied Question Answering (EQA), which refers to settings where an embodied agent such as a robot needs to actively explore an environment to gather information until it is confident about the answer to a question. In this work, we leverage the strong semantic reasoning…
Multiple Unpiloted Aerial Vehicles (UAVs) working together have the potential to efficiently survey large geographical areas. Unfortunately, UAVs in the field may fail midway through a survey due to adverse weather, faster-than-expected battery drain, or mechanical malfunction, leaving part of the s