How PhysForge Generates Interactive 3D Assets from a Single Image

PhysForge, a physics‑grounded 3D asset generation framework accepted at ICML 2026, converts a single input image into a fully interactive 3D object by first planning a hierarchical physical blueprint with a vision‑language model and then refining geometry, texture, and precise kinematic parameters via a diffusion model, supported by the large‑scale PhysDB dataset.

3D generationdiffusion modellarge dataset

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How PhysForge Generates Interactive 3D Assets from a Single Image

Data Party THU

May 18, 2026 · Artificial Intelligence

Engineering Sim‑to‑Real Migration for Embodied Intelligent Robots

The article presents a comprehensive engineering guide for embodied intelligent robots, detailing the three core Sim‑to‑Real migration technologies—high‑fidelity simulation adaptation (Isaac Sim), dynamics parameter identification with digital‑twin synchronization, and domain‑randomized pipelines—while comparing Isaac Sim and PyBullet, offering platform‑selection advice, and providing concrete rendering‑physics trade‑off configurations with performance metrics.

Domain RandomizationEmbodied AIIsaac Sim

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Engineering Sim‑to‑Real Migration for Embodied Intelligent Robots

AI Explorer

Mar 19, 2026 · Artificial Intelligence

How the MANSION Framework Bridges the Simulation‑to‑Reality Gap for Embodied AI

The MANSION framework creates a highly realistic, multi‑scene simulation that lets robots train for long‑duration, cross‑environment tasks, dramatically cutting real‑world trial costs and narrowing the sim‑to‑real gap for embodied intelligence.

Embodied AIdigital twinlong-horizon tasks

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How the MANSION Framework Bridges the Simulation‑to‑Reality Gap for Embodied AI