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Jiayuan Gu

6 papers hereh-index 2455 citations5 works total

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

author position
  • middle author3
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV2
same name
  • Jiayuan Gu — 12 papers, h 12
  • Jiayuan Gu — 10 papers, h 12
  • Jiayuan Gu — 10 papers, h 4
  • Jiayuan Gu — 1 paper
  • Jiayuan Gu — 1 paper

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

most citedSpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

Agentic Robot Creation through Generation, Verification, and Revision

Xuebing Li, Yibo He, Sitong Liu +2

Can an AI agent turn high-level user intent into a functioning robot and teach it how to behave? We study this question from two complementary aspects: embodiment and behavior crea…

cs.RO2026

Dexora: Open-source VLA for High-DoF Bimanual Dexterity

Zongzheng Zhang, Jingrui Pang, Zhuo Yang +22

Vision-Language-Action (VLA) models have recently become a central direction in embodied AI, but current systems are restricted to either dual-gripper control or single-arm dextero…

cs.RO2025

SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation

Zekun Qi, Wenyao Zhang, Yufei Ding +15

While spatial reasoning has made progress in object localization relationships, it often overlooks object orientation-a key factor in 6-DoF fine-grained manipulation. Traditional p…

cs.RO2025★ 1 cited

SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Delin Qu, Haoming Song, Qizhi Chen +8

In this paper, we claim that spatial understanding is the keypoint in robot manipulation, and propose SpatialVLA to explore effective spatial representations for the robot foundati…

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