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New framework streamlines real-world to simulation conversion for robotics

By PulseAugur Editorial · [3 sources] ·

Researchers have developed Agentic Real2Sim, a new framework designed to streamline the conversion of real-world robotic interaction recordings into runnable physical simulations. This process, traditionally labor-intensive, now leverages vision-language agents to recover scene geometries, object states, and physical parameters, creating a simulatable 'episodic twin'. The framework has demonstrated success across various manipulation and motion scenes, utilizing an open-weight VLM backend to achieve comparable results to more costly frontier models. AI

IMPACT This framework could significantly reduce the cost and effort required for training robotic policies by enabling more efficient simulation.

RANK_REASON The cluster describes a new research paper detailing a novel framework for robotics simulation.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New framework streamlines real-world to simulation conversion for robotics

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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Guanxiong Chen, Qianjun Xia, Jiawei Peng, Heng Zhang, Bole Ma, Justin Qian, Ziyi Jiao, Bingyang Zhou, Luoxin Ye, Kaifeng Zhang, Kunyi Wang, Weijia Zeng, Yunuo Chen, Pengzhi Yang, Ziqiu Zeng, Huamin Wang, Chao Liu, Alan Yuille, Fan Shi, Changxi Zheng, Yun… ·

    Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents

    arXiv:2607.19190v1 Announce Type: cross Abstract: Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more than visual reconstruction: a streamlined real2sim process must recover scene geometries and object states, infer physica…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents

    Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more than visual reconstruction: a streamlined real2sim process must recover scene geometries and object states, infer physical parameters, and assemble actors, objects, camera…

  3. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    AI agents turn robot videos into physics simulations Agentic Real2Sim uses vision-language agents to convert real robot recordings into simulatable twins, aimin

    AI agents turn robot videos into physics simulations Agentic Real2Sim uses vision-language agents to convert real robot recordings into simulatable twins, aiming to cut the labor cost of training robots in https://www. notatechguy.com/ai-agents-turn -robot-videos-into-physics-sim…

    LINKS notatechguy.com/ai-agents-turn-robot-vide…

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