137 citations · 279 across the 16 of their papers we have counts for
19 papers
HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes
Zan Wang, Yixin Chen, Tengyu Liu +3
Learning to generate diverse scene-aware and goal-oriented human motions in 3D scenes remains challenging due to the mediocre characteristics of the existing datasets on Human-Scen…
Object Gathering with a Tethered Robot Duo
Yao Su, Yuhong Jiang, Yixin Zhu +1
We devise a cooperative planning framework to generate optimal trajectories for a tethered robot duo, who is tasked to gather scattered objects spread in a large area using a flexi…
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
Sirui Xie, Xiaojian Ma, Peiyu Yu +3
Humans learn compositional and causal abstraction, \ie, knowledge, in response to the structure of naturalistic tasks. When presented with a problem-solving task involving some obj…
LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
Baoxiong Jia, Yixin Chen, Siyuan Huang +2
Understanding and interpreting human actions is a long-standing challenge and a critical indicator of perception in artificial intelligence. However, a few imperative components of…
Human-Robot Interaction in a Shared Augmented Reality Workspace
Shuwen Qiu, Hangxin Liu, Zeyu Zhang +2
We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot Interaction (HRI), which establishes a bi-directional communication between human agents and rob…
Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs
Tao Yuan, Hangxin Liu, Lifeng Fan +4
Aiming to understand how human (false-)belief--a core socio-cognitive ability--would affect human interactions with robots, this paper proposes to adopt a graphical model to unify…