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An interesting work on Physical AI: PhysX-Omni. First unified sim-ready generation framework for rigid, deformable, and articulated objects, with a diverse dataset and new benchmark. 🌐 💻 📦

27,240 次观看 • 4 个月前 •via X (Twitter)

5 条评论

EB1A Experts 的头像
EB1A Experts4 个月前

Very interesting direction for simulation-ready physical AI systems.

Yash 的头像
Yash4 个月前

It's very useful for the robotics I believe

Saïd Aitmbarek 的头像
Saïd Aitmbarek4 个月前

fascinating stuff

Elodie 3DFontaine 的头像
Elodie 3DFontaine4 个月前

Sim-ready is good, but I need to inspect the geometry. Pretty meshes are fine, but let me see CAD-level topology, not renderings dressed for physics.

Rhy 的头像
Rhy4 个月前

love the concept of sim ready 3Dmodels - whats the 3D gen model built on top of?

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In my past research experience, finding or developing an appropriate simulation environment, dataset, and benchmark has always been a challenge. Missing features, limited support, or unexpected bugs often occupied my days and nights. Moreover, current simulation platforms are relatively fragmented—making it challenging to replicate the success of the RT-X dataset in unifying community efforts. Introducing RoboVerse, we provide a unified platform, dataset, and benchmark for scalable and generalizable robot learning. We hope to build a shared foundation to combine the community efforts. RoboVerse includes: MetaSim: We carefully designed a configuration system and a universal interface to align current robotic simulators. With MetaSim, you can use any simulator with the same code—bringing together the community’s diverse efforts under one framework! RoboVerse Dataset and Benchmark: We unify popular simulation environments and benchmarks into a single cohesive system and introduce the RoboVerse dataset—a large-scale, high-quality synthetic dataset. Additionally, we propose a standardized benchmark across both imitation learning and reinforcement learning. A cool feature enabled by our unified framework: Hybrid Simulation! You can now integrate physics engines and renderers from different simulators—e.g., using MuJoCo precise physics with Isaac photorealistic rendering. This not only elevates simulation fidelity but also significantly enhances real-world transfer performance across complex robotic applications. Hopefully, our team’s efforts could serve the robotic community to thrive vibrantly in the years to come. RoboVerse is open-sourced🥳!!! Project Page: Documentation: Github Repo: Paper:

Haoran Geng

84,425 次观看 • 1 年前