activity
20192022
most citedDark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

137 citations · 151 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO202212 cited

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…

cs.RO2021

Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments

Muzhi Han, Zeyu Zhang, Ziyuan Jiao +4

In this paper, we rethink the problem of scene reconstruction from an embodied agent's perspective: While the classic view focuses on the reconstruction accuracy, our new perspecti…

cs.RO2020

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…

cs.CV20201 cited

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…

cs.HC2020

Congestion-aware Evacuation Routing using Augmented Reality Devices

Zeyu Zhang, Hangxin Liu, Ziyuan Jiao +2

We present a congestion-aware routing solution for indoor evacuation, which produces real-time individual-customized evacuation routes among multiple destinations while keeping tra…

cs.AI2020137 cited

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan +9

Recent progress in deep learning is essentially based on a "big data for small tasks" paradigm, under which massive amounts of data are used to train a classifier for a single narr…