---
title: "Dieter Fox — all works — Elamur Research"
description: "All 39 works of Dieter Fox in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/dieter-fox/works/"
---
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# Dieter Fox — all works

39 works · [← Dieter Fox](https://md.research.elamur.ai/free/en/authors/dieter-fox/)

1. **[DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time ↗](https://doi.org/10.1109/cvpr.2015.7298631) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Richard A. Newcombe, Dieter Fox, Steven M. Seitz*2015 · 970 citations*
2. **[ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks](https://md.research.elamur.ai/free/en/papers/shridhar-2019-alfred-benchmark-interpreting-grounded-instructions/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Mohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox*2019 · 765 citations*
3. [**ProgPrompt: Generating Situated Robot Task Plans using Large Language Models arXiv:2209.11302**Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.*2022 · 735 citations*](https://md.research.elamur.ai/free/en/papers/singh-2022-progprompt-generating-situated-robot-task/)
4. **[6-DOF GraspNet: Variational Grasp Generation for Object Manipulation ↗](https://doi.org/10.1109/iccv.2019.00299) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Arsalan Mousavian, Clemens Eppner, Dieter Fox*2019 · 585 citations*
5. **[Learning to Parse Natural Language Commands to a Robot Control System ↗](https://doi.org/10.1007/978-3-319-00065-7_28) Springer tracts in advanced robotics · no summary yet**Cynthia Matuszek et al.*2013 · 362 citations*
6. **[A Joint Model of Language and Perception for Grounded Attribute Learning ↗](https://doi.org/10.13016/m2ehu6-1m90) arXiv (Cornell University) · no summary yet**Cynthia Matuszek et al.*2012 · 261 citations*
7. **[Multipath Sparse Coding Using Hierarchical Matching Pursuit ↗](https://doi.org/10.1109/cvpr.2013.91) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Liefeng Bo, Xiaofeng Ren, Dieter Fox*2013 · 206 citations*
8. [**CLIPort: What and Where Pathways for Robotic Manipulation arXiv:2109.12098**Mohit Shridhar, Lucas Manuelli, Dieter Fox*2021 · 159 citations*](https://md.research.elamur.ai/free/en/papers/shridhar-2021-cliport-where-pathways-robotic-manipulation/)
9. **[Visual Semantic Planning Using Deep Successor Representations ↗](https://doi.org/10.1109/iccv.2017.60) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Yuke Zhu et al.*2017 · 143 citations*
10. **[An Overview of the Assisted Cognition Project ↗](https://openalex.org/W88764598) no summary yet**Henry Kautz et al.*2002 · 130 citations*
11. **[GR00T N1: An Open Foundation Model for Generalist Humanoid Robots ↗](https://arxiv.org/abs/2503.14734) arXiv:2503.14734 · no summary yet**NVIDIA et al.*2025 · 123 citations*
12. [**Simulating Action Dynamics with Neural Process Networks arXiv:1711.05313**Antoine Bosselut, Omer Levy, Ari Holtzman, et al.*2017 · 102 citations*](https://md.research.elamur.ai/free/en/papers/bosselut-2017-simulating-action-dynamics-neural-process/)
13. **[Foundations of Assisted Cognition Systems ↗](https://openalex.org/W150638749) no summary yet**Henry Kautz et al.*2003 · 61 citations*
14. **[THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation ↗](https://doi.org/10.15607/rss.2024.xx.133) arXiv:2402.08191 · no summary yet**Wilbert Pumacay et al.*2024 · 40 citations*
15. **[MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations ↗](https://arxiv.org/abs/2310.17596) arXiv (Cornell University) · no summary yet**Ajay Mandlekar et al.*2023 · 33 citations*
16. **[RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics ↗](https://arxiv.org/abs/2406.10721) arXiv (Cornell University) · no summary yet**Wentao Yuan et al.*2024 · 28 citations*
17. **[Latent Action Pretraining from Videos ↗](https://arxiv.org/abs/2410.11758) arXiv (Cornell University) · no summary yet**Seonghyeon Ye et al.*2024 · 27 citations*
18. **[NEWTON: Are Large Language Models Capable of Physical Reasoning? ↗](https://aclanthology.org/2023.findings-emnlp.652/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Yi Wang et al.*2023 · 27 citations*
19. **[MolmoAct: Action Reasoning Models that can Reason in Space ↗](https://doi.org/10.1109/icra57385.2026.11696546) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Jason Lee et al.*2026 · 26 citations*
20. **[Imitating Task and Motion Planning with Visuomotor Transformers ↗](https://arxiv.org/abs/2305.16309) arXiv (Cornell University) · no summary yet**Murtaza Dalal et al.*2023 · 21 citations*
21. **[Manipulate-Anything: Automating Real-World Robots using Vision-Language Models ↗](https://arxiv.org/abs/2406.18915) arXiv (Cornell University) · no summary yet**Jiafei Duan et al.*2024 · 19 citations*
22. **[AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation ↗](https://arxiv.org/abs/2410.00371) arXiv (Cornell University) · no summary yet**Jiafei Duan et al.*2024 · 17 citations*
23. **[DreamGen: Unlocking Generalization in Robot Learning through Video World Models ↗](https://arxiv.org/abs/2505.12705) arXiv (Cornell University) · no summary yet**Joel Jang et al.*2025 · 12 citations*
24. **[MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation ↗](https://arxiv.org/abs/2602.11337) arXiv (Cornell University) · no summary yet**Yejin Kim et al.*2026 · 8 citations*
25. **[AR2-D2:Training a Robot Without a Robot ↗](https://arxiv.org/abs/2306.13818) arXiv (Cornell University) · no summary yet**Jiafei Duan et al.*2023 · 7 citations*
26. **[MolmoAct2: Action Reasoning Models for Real-world Deployment ↗](https://arxiv.org/abs/2605.02881) arXiv (Cornell University) · no summary yet**Haoquan Fang et al.*2026 · 6 citations*
27. **[SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation ↗](https://arxiv.org/abs/2501.18564) arXiv (Cornell University) · no summary yet**Haoquan Fang et al.*2025 · 6 citations*
28. **[Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons ↗](https://doi.org/10.15607/rss.2026.xxii.140) arXiv:2603.02115 · no summary yet**Anthony Liang et al.*2026 · 5 citations*
29. **[PointArena: Probing Multimodal Grounding Through Language-Guided Pointing ↗](https://arxiv.org/abs/2505.09990) arXiv (Cornell University) · no summary yet**Cheng, Long et al.*2025 · 5 citations*
30. **[EVE: Enabling Anyone to Train Robots using Augmented Reality ↗](https://doi.org/10.1145/3654777.3676413) ACM Symposium on User Interface Software and Technology (UIST) · no summary yet**Jun Wang et al.*2024 · 5 citations*
31. **[TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics ↗](https://arxiv.org/abs/2602.19313) arXiv (Cornell University) · no summary yet**Shirui Chen et al.*2026 · 4 citations*
32. **[MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation ↗](https://arxiv.org/abs/2603.16861) arXiv (Cornell University) · no summary yet**Abhay Deshpande et al.*2026 · 4 citations*
33. **[ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training ↗](https://arxiv.org/abs/2509.01819) arXiv (Cornell University) · no summary yet**Yan, Ge et al.*2025 · 4 citations*
34. **[FailSafe: Reasoning and Recovery from Failures in Vision-Language-Action Models ↗](https://arxiv.org/abs/2510.01642) arXiv (Cornell University) · no summary yet**Zijun Lin et al.*2025 · 4 citations*
35. **[Robo Eval: Where Robotic Manipulation Meets Structured and Scalable Evaluation ↗](https://doi.org/10.1109/icra57385.2026.11697082) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Yi Ru Wang et al.*2026 · 3 citations*
36. **[Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning ↗](https://arxiv.org/abs/2602.07845) arXiv (Cornell University) · no summary yet**Yalcin Tur et al.*2026 · 2 citations*
37. **[vla-eval: A Unified Evaluation Harness for Vision-Language-Action Models ↗](https://arxiv.org/abs/2603.13966) arXiv (Cornell University) · no summary yet**Suhwan Choi et al.*2026*
38. **[MolmoSpaces: Large-Scale Open Ecosystem for Robot Manipulation and Navigation ↗](https://doi.org/10.15607/rss.2026.xxii.091) no summary yet**Yejin Kim et al.*2026*
39. **[Integrated Intelligence: Robot Instruction via Interactive Grounded Learning ↗](https://doi.org/10.21236/ad1008203) no summary yet**Luke Zettlemoyer, Dieter Fox*2016*