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researcher

Ankit Goyal

Nvidia

24 papers hereh-index 182.9k citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author11
  • middle author10
  • last author3

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.RO13
  • cs.CV5
  • cs.CL3
  • cs.AI1
  • cs.LG1
  • cs.SE1
affiliations
  • Nvidia
Homepage
same name
  • Ankit Goyal — 2 papers
  • Ankit Goyal — 1 paper, h 19

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedProgPrompt: Generating Situated Robot Task Plans using Large Language Models

44 citations · 94 across the 22 of their papers we have counts for

collaborators
Showing 2025 · cs.ROShow all

4 papers · 2 filters

cs.RO2025

VLA-0: Building State-of-the-Art VLAs with Zero Modification

Ankit Goyal, Hugo Hadfield, Xuning Yang +2

Vision-Language-Action models (VLAs) hold immense promise for enabling generalist robot manipulation. However, the best way to build them remains an open question. Current approach…

cs.RO2025

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training

Ge Yan, Jiyue Zhu, Yuquan Deng +8

This paper introduces ManiFlow, a visuomotor imitation learning policy for general robot manipulation that generates precise, high-dimensional actions conditioned on diverse visual…

cs.RO2025

OG-VLA: Orthographic Image Generation for 3D-Aware Vision-Language Action Model

Ishika Singh, Ankit Goyal, Stan Birchfield +3

We introduce OG-VLA, a novel architecture and learning framework that combines the generalization strengths of Vision Language Action models (VLAs) with the robustness of 3D-aware…

cs.RO2025★ 1 cited

HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation

Yi Li, Yuquan Deng, Jesse Zhang +9

Large foundation models have shown strong open-world generalization to complex problems in vision and language, but similar levels of generalization have yet to be achieved in robo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.