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Rong Xiong

4 papers hereh-index 247 citations14 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO3
  • cs.CV1
same name
  • Rong Xiong — 22 papers, h 13
  • Rong Xiong — 16 papers, h 8
  • Rong Xiong — 10 papers, h 3
  • Rong Xiong — 6 papers, h 1
  • Rong Xiong — 3 papers
  • Rong Xiong — 3 papers, h 1

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 citedExploreVLM: Closed-Loop Robot Exploration Task Planning with Vision-Language Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.RO2026

PACE: Stage-Consistent Long-Horizon Robot Manipulation via Progress-Aligned Context for Execution

Yenan Chen, Junjie Shi, Lu Chen +2

Demonstration-conditioned policies provide a natural interface for specifying robot behavior, yet long-horizon manipulation remains difficult when visually similar states recur acr…

cs.RO2026

Embodied-Navigator: Point, Think, Memorize, and Align for Efficient Navigation

Hongyan Feng, Sunlai Chen, Xuanyu Liu +9

Although Large Vision-Language Models (VLMs) have significantly advanced embodied navigation, their direct deployment remains challenging, as existing methods often force VLMs into…

cs.CV2026

Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning

Yiyao Ma, Kai Chen, Zhongxiang Zhou +5

Monocular 3D shape recovery is fundamental to geometric understanding, yet achieving robust generalization across arbitrary viewpoints and unseen object categories remains a signif…

cs.RO2025★ 1 cited

ExploreVLM: Closed-Loop Robot Exploration Task Planning with Vision-Language Models

Zhichen Lou, Kechun Xu, Zhongxiang Zhou +1

The advancement of embodied intelligence is accelerating the integration of robots into daily life as human assistants. This evolution requires robots to not only interpret high-le…

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