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From the 1 of 22 linked papers with an AI index.

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22 papers

cs.CV2026

Genie Sim PanoWorld: An Infinite Indoor 3D World Generation Pipeline via Panoramic Scene Modeling and Simulation

Yongxin Su, Linjie Hou, Feng Wang +4

The paper introduces Genie Sim PanoWorld, a feed‑forward system that creates a controllable panoramic video from a single 360° image and then reconstructs it into a high‑fidelity,…

cs.RO2026

Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot

Chenghao Yin, Da Huang, Di Yang +16

The development of robust and generalizable robot learning models is critically contingent upon the availability of large-scale, diverse training data and reliable evaluation bench…

cs.RO2026

Is Diversity All You Need for Scalable Robotic Manipulation?

Modi Shi, Li Chen, Jin Chen +7

Data scaling has driven remarkable success in foundation models for Natural Language Processing (NLP) and Computer Vision (CV), yet the principles of effective data scaling in robo…

cs.RO2026

GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation

Boxiang Qiu, Liliang Chen, Yue Liao +12

We introduce GE-Sim 2.0 (Genie Envisioner World Simulator 2.0), a closed-loop video world simulator for robotic manipulation. Building on the action-conditioned video generation fr…

cs.RO2026

Genie Sim PanoRecon: Fast Immersive Scene Generation from Single-View Panorama

Zhijun Li, Yongxin Su, Di Yang +4

We present Genie Sim PanoRecon, a feed-forward Gaussian-splatting pipeline that delivers high-fidelity, low-cost 3D scenes for robotic manipulation simulation. The panorama input i…

cs.RO2026

Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System

Yifei Wei, Linqing Zhong, Yi Liu +4

Vision-Language-Action (VLA) models are a promising paradigm for generalist robotic manipulation by grounding high-level semantic instructions into executable physical actions. How…