🧑‍🔬 Animesh Garg

🏛️ Affiliations

🎓Georgia Institute of TechnologyAtlanta · United States2023–2026 · 25 papersEmployment since 2024 · Assistant Professor, College of Computing, Interactive Computingcurrent🎓University of TorontoToronto · Canada2019–2025 · 80 papersEmployment 2019–2023 · Assistant Professor, Computer Science🔬Vector InstituteToronto · Canada2019–2024 · 52 papers🏢NvidiaSanta Clara · United States2018–2025 · 35 papersEmployment 2018–2024 · Senior Research Scientist, Nvidia Research🏢NvidiaReading · United Kingdom2019–2025 · 24 papers🎓University of California, BerkeleyBerkeley · United States2012–2020 · 16 papers🎓Stanford UniversityStanford · United States2017–2019 · 16 papers🎓Johns Hopkins UniversityBaltimore · United States2012 · 2 papers🎓Netaji Subhas University of TechnologyNew Delhi · India2011 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. ProgPrompt: Generating Situated Robot Task Plans using Large Language Models (2022 · 735 citations)
   ProgPrompt addresses a gap in using large language models for robot task planning. Existing approaches either rank every possible next step, which breaks down when the action space is combinatorial, or produce free text. That text must then be matched to robot actions and may refer to objects the scene does not…
2. Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025 (2025 · 21 citations)
   Submissions to AI conferences are growing fast. ICLR grew 47% in 2024 and 61% in 2025. This strains reviewers and leaves authors facing short, unsupported criticism. To address this, the authors built Review Feedback Agent, a pipeline of five Claude Sonnet 3.5 instances: two Actors, an Aggregator, a Critic and a…

All works

18 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. ProgPrompt: Generating Situated Robot Task Plans using Large Language ModelsarXiv:2209.11302Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.2022 · 735 citations
2. X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSatya Krishna Gorti et al.2022 · 249 citations
3. Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetAbby O'Neill et al.2024 · 231 citations
4. Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗arXiv:2310.08864 · no summary yetEmbodiment Collaboration et al.2023 · 204 citations
5. Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDe-An Huang et al.2019 · 124 citations
6. RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation ↗arXiv (Cornell University) · no summary yetAjay Mandlekar et al.2018 · 77 citations
7. TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetAdithyavairavan Murali et al.2016 · 70 citations
8. Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning ↗arXiv:2511.04831 · no summary yetNVIDIA: Mayank Mittal et al.2025 · 40 citations
9. Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation ↗arXiv (Cornell University) · no summary yetKuan Fang et al.2019 · 30 citations
10. Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion ↗arXiv (Cornell University) · no summary yetXingye Da et al.2020 · 27 citations
11. Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025arXiv:2504.09737Nitya Thakkar, Mert Yuksekgonul, Jake Silberg, et al.2025 · 21 citations
12. Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision ↗arXiv (Cornell University) · no summary yetKuan Fang et al.2018 · 20 citations
13. Experience Replay with Likelihood-free Importance Weights ↗arXiv (Cornell University) · no summary yetSamarth Sinha et al.2020 · 16 citations
14. Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition ↗arXiv (Cornell University) · no summary yetBo Liu et al.2021 · 12 citations
15. Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAnuj Mahajan et al.2021 · 5 citations
16. OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation ↗arXiv (Cornell University) · no summary yetHongyu Ren et al.2020 · 2 citations
17. Reinforcement Learning in Factored Action Spaces using Tensor Decompositions ↗CaltechAUTHORS (California Institute of Technology) · no summary yetAnuj Mahajan et al.2021 · 1 citation
18. Learning Representations for Unsupervised Skill Discovery ↗Stanford Digital Repository · no summary yetAdeniji, Ademiloluwa et al.2024

🤝 Co-authors here

9 co-authors with a page, the most papers together first.

• Carl Vondrick
• Dieter Fox
• Fei Sha
• James Zou
• Jesse Thomason
• Mert Yuksekgonul
• Nanyun Peng
• Nitya Thakkar
• Rose Yu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
• Proceedings - IEEE International Conference on Robotics and Automation/Proceedings ×2
• CaltechAUTHORS (California Institute of Technology)
• Stanford Digital Repository

🔗 Cited by

Papers of our library cite their works 435 times (of the 149,439 papers whose bibliographies we read); 73 citing papers with a page here →.

Updated 3 November 2026

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