RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
2020Year
79Top-tier citations
Abstract
We present ROBOTHOR, a platform to develop and test embodied AI agents with corresponding environments in simulation and the physical world. The complexity of environments in ROBOTHOR along with disparities in appearance and control dynamics between simulation and reality pose new challenges and open many avenues for further research.
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Cited by top-tier papers79
- 🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural GenerationMatt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs et al.NeurIPS 2022 · 596 citations
- Habitat 3.0: A Co-Habitat for Humans, Avatars, and RobotsXavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote et al.ICLR 2024 · 252 citations
- Episodic Transformer for Vision-and-Language NavigationAlexander Pashevich, Cordelia Schmid, Chen SunICCV 2021 · 228 citations
- ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object NavigationKaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen et al.ICML 2023 · 221 citations
- SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object NavigationHang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou et al.NeurIPS 2024 · 215 citations
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