Traditional emotion analysis often takes a third-person perspective, limiting the ability of agents to interact naturally and empathetically.

Imitating humans' mental world knowledge model which provides global prior knowledge before the task and maintains local dynamic knowledge during the task, in this paper, we introduce parametric W orld K nowledge M odel ( WKM) to facilitate agent

Consequently, it is uncertain whether the generated modalities sufficiently represent the diversity of future behaviors.

Current approaches to learning cooperative multi-agent behaviors assume relatively restrictive settings.

"Universalization"-based reasoning, a theory of moral thinking, are able to achieve

In this paper, we investigate how to achieve stable and smooth skill chaining for long-horizon robotic manipulation tasks.