iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes
By Bokui (William) Shen, Fei Xia, Chengshu Li, Roberto Mart'in-Mart'in, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Siddharth Srivastava, Lyne P. Tchapmi and 4 more. 2020
57 citations recorded by the source corpus.
Subfields: 3D Vision & Pose, Robotics & Control
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In 3D Vision & Pose
- Angel X. Chang
- Manolis Savva
- Shuran Song
- Dhruv Batra
- Tushar Nagarajan
- Santhosh K. Ramakrishnan
- S. Gadre
- Kristen Grauman
In Robotics & Control
- Roozbeh Mottaghi
- Luca Weihs
- Shuran Song
- Dhruv Batra
- Aniruddha Kembhavi
- S. Gadre
- Kristen Grauman
- Santhosh K. Ramakrishnan
Citations in the corpus
- Continuous Scene Representations for Embodied AI (2022, background): “Recently, various embodied tasks such as navigation [5,8,37,54,56,63], instruction following [1,47], embodied question answering [15,23], object manipulation [18,21,22,46], and room rearrangement [4,52] have been of interest.”
- A Survey of Embodied AI: From Simulators to Research Tasks (2021, background): “[55] 2020 iGibson Gibson V1 SR Wahid et al.”
- Simple but Effective: CLIP Embeddings for Embodied AI (2021, background): “Simulators are photo-realistic, simulate physics, and enable interaction between agents and their environments [7, 8, 15, 16, 25, 26, 30, 36].”
- Shaping embodied agent behavior with activity-context priors from egocentric video (2021, background): “…such agents has driven exciting new research in visual semantic planning [68], instruction following [58], and object rearrangement [3, 29], typically supported by advanced simulators [45, 32, 57, 22] where policies may be learned quickly and safely before potentially transferring to real robots.”
- ManipulaTHOR: A Framework for Visual Object Manipulation (2021, background): “Recently, an extension of iGibson [28] has enabled object manipulation with contact forces.”
- D3D-HOI: Dynamic 3D Human-Object Interactions from Videos (2021, unknown): “Synthetic datasets [30, 33] are used to train regression-based models to directly predict part motion parameters.”
- Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI (2021, background): “A popular downstream application for large-scale 3D reconstruction datasets has been to use them with 3D simulation platforms [6, 14, 20] to study embodied AI tasks such as visual navigation [6, 28– 31].”