activity
20152022
most citedAllenAct: A Framework for Embodied AI Research

44 citations · 74 across the 10 of their papers we have counts for

collaborators

21 papers

cs.RO2022

Phone2Proc: Bringing Robust Robots Into Our Chaotic World

Matt Deitke, Rose Hendrix, Luca Weihs +3

Training embodied agents in simulation has become mainstream for the embodied AI community. However, these agents often struggle when deployed in the physical world due to their in…

cs.CV20221 cited

A General Purpose Supervisory Signal for Embodied Agents

Kunal Pratap Singh, Jordi Salvador, Luca Weihs +1

Training effective embodied AI agents often involves manual reward engineering, expert imitation, specialized components such as maps, or leveraging additional sensors for depth an…

cs.CV20225 cited

Ask4Help: Learning to Leverage an Expert for Embodied Tasks

Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti +3

Embodied AI agents continue to become more capable every year with the advent of new models, environments, and benchmarks, but are still far away from being performant and reliable…

cs.CV202219 cited

Retrospectives on the Embodied AI Workshop

Matt Deitke, Dhruv Batra, Yonatan Bisk +36

We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped i…

cs.CV20222 cited

The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents

Sarah Pratt, Luca Weihs, Ali Farhadi

The last few years have witnessed substantial progress in the field of embodied AI where artificial agents, mirroring biological counterparts, are now able to learn from interactio…

cs.CV2021

Pushing it out of the Way: Interactive Visual Navigation

Kuo-Hao Zeng, Luca Weihs, Ali Farhadi +1

We have observed significant progress in visual navigation for embodied agents. A common assumption in studying visual navigation is that the environments are static; this is a lim…