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Shang Wu

9 papers hereh-index 220 citations12 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV3
  • cs.LG2
same name
  • Shang Wu — 10 papers, h 6
  • Shang Wu — 5 papers, h 3
  • Shang Wu — 3 papers, h 2
  • Shang Wu — 3 papers, h 6
  • Shang Wu — 2 papers, h 2
  • Shang Wu — 1 paper, h 3

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

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

MagicSim: A Unified Infrastructure for Executable Embodied Interaction

Haoran Lu, Songling Liu, Yue Chen +15

Robot learning and embodied agents now require simulation to serve as a shared execution substrate linking control, skills, and planning, not only as a renderer, controller testbed…

cs.RO2026

AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation

Haoran Lu, Mutian Shen, Shuyang Yu +9

Simulation enables scalable robot data collection, but raw 3D assets provide only geometry, lacking the semantic, interactive, and physical knowledge needed to specify where and ho…

cs.RO2026

NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models

Ziyue Zhu, Shangyang Wu, Shuai Zhao +8

Vision-Language-Action (VLA) models are formulated to ground instructions in visual context and generate action sequences for robotic manipulation. Despite recent progress, VLA mod…

cs.RO2025

Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation

Guo Ye, Zexi Zhang, Xu Zhao +4

Vision-Language-Action (VLA) models have shown remarkable generalization by mapping web-scale knowledge to robotic control, yet they remain blind to physical contact. Consequently,…

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