Paper-Conference

Humans possess a unique social cognition capability; nonverbal communication can convey rich social information among agents. In …

Causal induction, i.e., identifying unobservable mechanisms that lead to the observable relations among variables, has played a pivotal …

Spatial-temporal reasoning is a challenging task in Artificial Intelligence (AI) due to its demanding but unique nature: a theoretic …

In this paper, we rethink the problem of scene reconstruction from an embodied agent’s perspective: While the classic view …

Predicting agents’ future trajectories plays a crucial role in modern AI systems, yet it is challenging due to intricate …

Understanding and interpreting human actions is a long-standing challenge and a critical indicator of perception in artificial …

We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot Interaction (HRI), which establishes a …

We study the hierarchical knowledge transfer problem using a cloth-folding task, wherein the agent is first given a set of human …

Aiming to understand how human (false-)belief—a core socio-cognitive ability—would affect human interactions with robots, …

We present a congestion-aware routing solution for indoor evacuation, which produces real-time individual-customized evacuation routes …