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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...

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Haoran Geng

2,091 subscribers

84,425 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von Haoran Geng
Haoran Gengvor 1 Jahr

Beyond what we have showcased in the video above, RoboVerse has even more exciting features waiting to be explored: Teleoperation: We support multiple teleoperation methods in RoboVerse. We designed a mobile app that utilizes phone sensors to enable seamless teleoperation within the RoboVerse platform. Also, we partially support more devices like Mocap, VR, Keyboard, and Joysticks.

Profilbild von Haoran Geng
Haoran Gengvor 1 Jahr

Real2Sim: We support Real-to-Sim toolset to reconstruct real-world assets from monocular video, utilizing 3D Gaussian Splatting techniques.

Profilbild von Haoran Geng
Haoran Gengvor 1 Jahr

AI-Generated Tasks: Based on the unified configuration of MetaSim for tasks, we leverage LLM to combine the assets from RoboVerse data and generate new tasks, showing the potential of LLM for creative task generation.

Profilbild von Haoran Geng
Haoran Gengvor 1 Jahr

Seamlessly Enable GPU Parallelism: RoboVerse makes it much easier to transfer tasks and benchmarks that previously didn’t support large-scale parallelism—enabling them to run large-scale parallel reinforcement learning efficiently on GPUs.

Profilbild von Haoran Geng
Haoran Gengvor 1 Jahr

Huge thanks to the entire team for the incredible efforts on this ambitious project🥺!!! We sincerely hope every contribution pays off. We also encourage the wider community to get involved — together, let's drive real progress in robotics🚀!

Profilbild von Lucid Scientific, Inc.
Lucid Scientific, Inc.vor 1 Jahr

Expand the possibilities of your metabolic research. Resipher tracks real-time cellular oxygen consumption in standard 96-well plates, delivering continuous real-time data directly from your incubator. Request a free virtual demo or quote today >>

Profilbild von Lwin Moe Aung
Lwin Moe Aungvor 1 Jahr

Does it support Drake?

Profilbild von Haoran Geng
Haoran Gengvor 1 Jahr

Not yet. We are working hard to include more! Also, pull request is highly appreciated :)

Profilbild von arun kumar singh
arun kumar singhvor 1 Jahr

Does it support Mujoco or Mujoco JAX?

Profilbild von Haoran Geng
Haoran Gengvor 1 Jahr

Yes! We do support MuJoCo! Check this and have a try!

Profilbild von David Blanco-Mulero
David Blanco-Mulerovor 1 Jahr

Really amazing work! I see the deformables sim is mainly based on garmentlab. Have you thought about integrating the different deformable sims objects e.g. Mujoco does well on volumetric objects, maniskill, etc. rather than only Isaac-based?

Profilbild von Haoran Geng
Haoran Gengvor 1 Jahr

Thank you for the suggestion! We are working hard to include more. Deformable engines from other simulators are indeed very useful, as they offer several advantages. Stay tuned!

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Pen spinning on WUJI Hand 2, from simulation training to real-world execution. We use motion-reference tracking and reinforcement learning to bring a simulation-trained policy to the physical hand. Code and setup guides are open source for developers and researchers to build on. Code:
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Pen spinning on WUJI Hand 2, from simulation training to real-world execution. We use motion-reference tracking and reinforcement learning to bring a simulation-trained policy to the physical hand. Code and setup guides are open source for developers and researchers to build on. Code:

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