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Erjin Zhou

11 papers hereh-index 7204 citations10 works total

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

author position
  • middle author10
  • last author1

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.RO7
  • cs.CV4
same name
  • Erjin Zhou — 16 papers, h 17

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
20222026
most citedClass Balance Matters to Active Class-Incremental Learning

8 citations · 13 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.RO2026

LoopWAM: Closed-Loop Generalist Policy Improvement from Deployment Rollouts

Wenxuan Guo, Yingping Liang, Zhaoguo Wang +11

Scaling expert demonstrations alone does not enable generalist robot policies to improve from deployment. Real-world rollouts contain successes, suboptimal behavior, and failures:…

cs.RO2026

QuadVerse: An Integrated Framework Aligning Visual-Physical Reality for Quadruped Simulation

Yuxiang Chen, Yuanhao Wang, Ziheng Zhang +6

Simulation is central to robot learning, yet the sim-to-real gap remains a major bottleneck. Existing approaches often tackle visual or dynamic gaps separately, overlooking how the…

cs.RO2026

GesVLA: Gesture-Aware Vision-Language-Action Model Embedded Representations

Wenxuan Guo, Ziyuan Li, Meng Zhang +7

Vision-Language-Action (VLA) models have shown strong potential for general-purpose robot manipulation by unifying perception and action. However, existing VLA systems primarily re…

cs.RO2026

DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI

En Yu, Haoran Lv, Jianjian Sun +46

Moving beyond the traditional paradigm of adapting internet-pretrained models to physical tasks, we present DM0, an Embodied-Native Vision-Language-Action (VLA) framework designed…

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