Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
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Abstract (arXiv)
Language-guided robots performing home and office tasks must navigate in and interact with the world. Grounding language instructions against visual observations and actions to take in an environment is an open challenge. We present Embodied BERT (EmBERT), a transformer-based model which can attend to high-dimensional, multi-modal inputs across long temporal horizons for language-conditioned task completion. Additionally, we bridge the gap between successful object-centric navigation models used for non-interactive agents and the language-guided visual task completion benchmark, ALFRED, by introducing object navigation targets for EmBERT training. We achieve competitive performance on the ALFRED benchmark, and EmBERT marks the first transformer-based model to successfully handle the long-horizon, dense, multi-modal histories of ALFRED, and the first ALFRED model to utilize object-centric navigation targets.
Key facts. Cited by 57 papers in the map (data through 7 Oct 2026). Builds on 60 of its 94 references that are in the map. First posted on arXiv 10 Aug 2021.
Builds on
60 of 94 references.
References · 60
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- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
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38 more
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- 2019VisualBERT: A Simple and Performant Baseline for Vision and Languagecited by 1,291
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- 2017Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentscited by 1,013
- 2017AI2-THOR: An Interactive 3D Environment for Visual AIcited by 850
- 2019ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Taskscited by 773
- 2019How multilingual is Multilingual BERT?cited by 642
- 2019Unified Vision-Language Pre-Training for Image Captioning and VQAcited by 494
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- 2020Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Groundingcited by 401
- 2016Visual Dialogcited by 377
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- 2018Speaker-Follower Models for Vision-and-Language Navigationcited by 337
- 2017Embodied Question Answeringcited by 335
- 2019REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environmentscited by 330
- 2021MERLOT: Multimodal Neural Script Knowledge Modelscited by 311
- 2020A Recurrent Vision-and-Language BERT for Navigationcited by 300
- 2019Vision-and-Dialog Navigationcited by 246
- 2020Experience Grounds Languagecited by 241
- 2020ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objectscited by 240
- 2020The EPIC-KITCHENS Dataset: Collection, Challenges and Baselinescited by 221
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- 2020Improving Vision-and-Language Navigation with Image-Text Pairs from the Webcited by 177
- 2021Episodic Transformer for Vision-and-Language Navigationcited by 155
- 2017IQA: Visual Question Answering in Interactive Environmentscited by 154
- 2020Rearrangement: A Challenge for Embodied AIcited by 153
- 2020Topological Planning with Transformers for Vision-and-Language Navigationcited by 115
- 2019Scene Memory Transformer for Embodied Agents in Long-Horizon Taskscited by 106
- 2021A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Executioncited by 91
- 2020Sim-to-Real Transfer for Vision-and-Language Navigationcited by 88
- 2018Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Inputcited by 81
- 2020Object-and-Action Aware Model for Visual Language Navigationcited by 77
- 2020Learning Affordance Landscapes for Interaction Exploration in 3D Environmentscited by 65
- 2020Imitating Interactive Intelligencecited by 55
- 2021Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoringcited by 53
- 2020Universal Adversarial Attacks with Natural Triggers for Text Classificationcited by 50
- 2018Talk the Walk: Navigating New York City through Grounded Dialoguecited by 44
50 most cited of 60 All 60 (JSON)
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Citing papers per year: 2021: 3; 2022: 18; 2023: 18; 2024: 9; 2025: 8; 2026: 1.
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- 2024How Can LLM Guide RL? A Value-Based Approach25 Feb 2024
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