activity
20192022
most citedRetrospectives on the Embodied AI Workshop

19 citations · 19 across the 1 of their papers we have counts for

collaborators

5 papers

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.CV2021

ManipulaTHOR: A Framework for Visual Object Manipulation

Kiana Ehsani, Winson Han, Alvaro Herrasti +5

The domain of Embodied AI has recently witnessed substantial progress, particularly in navigating agents within their environments. These early successes have laid the building blo…

cs.CV2020

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Matt Deitke, Winson Han, Alvaro Herrasti +10

Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undeniably played a prevailing role in the evolution of modern computer vision. We argue that interactive and embod…

cs.CV2019

Learning Generalizable Visual Representations via Interactive Gameplay

Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani +7

A growing body of research suggests that embodied gameplay, prevalent not just in human cultures but across a variety of animal species including turtles and ravens, is critical in…

cs.CV2019

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Mohit Shridhar, Jesse Thomason, Daniel Gordon +5

We present ALFRED (Action Learning From Realistic Environments and Directives), a benchmark for learning a mapping from natural language instructions and egocentric vision to seque…