Ankit Goyal

Affiliations:
  • NVIDIA
  • Princeton University, Department of Computer Science, USA (PhD 2022)
  • University of Michigan, Computer Science and Engineering, Ann Arbor, MI, USA


According to our database1, Ankit Goyal authored at least 17 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
3D-MVP: 3D Multiview Pretraining for Robotic Manipulation.
CoRR, 2024

RVT-2: Learning Precise Manipulation from Few Demonstrations.
CoRR, 2024

AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent.
CoRR, 2024

2023
ProgPrompt: program generation for situated robot task planning using large language models.
Auton. Robots, December, 2023

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.
CoRR, 2023

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Infinite Photorealistic Worlds Using Procedural Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.
Proceedings of the Conference on Robot Learning, 2023

RVT: Robotic View Transformer for 3D Object Manipulation.
Proceedings of the Conference on Robot Learning, 2023

2022
Towards Geometric Intelligence: Seeing, Grounding and Reasoning over Geometries
PhD thesis, 2022

Non-deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coupled Iterative Refinement for 6D Multi-Object Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PackIt: A Virtual Environment for Geometric Planning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2018
Think Visually: Question Answering through Virtual Imagery.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018


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