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Vector Wang

@VectorWang2 • 1,921 subscribers

PhD student in robotics manipulation, currently on physics-aware world models for robust manipulation @RiceCompSci. Designer and developer of XLeRobot.

Shorts

Building up a mini Tidybot for <$2k in total. More dynamic (realtime no speed up) and more robust Plugged into upcoming X-bot universe with OpenClaw agentic applications.

Building up a mini Tidybot for <$2k in total. More dynamic (realtime no speed up) and more robust Plugged into upcoming X-bot universe with OpenClaw agentic applications.

38,066 次观看

Mujoco + 3DGS on browser, imported from Fei-Fei Li ‘s World Labs Import any robot into any 3DGS scene Play the simulation on your phone EE control on XLeRobot and Franka

Mujoco + 3DGS on browser, imported from Fei-Fei Li ‘s World Labs Import any robot into any 3DGS scene Play the simulation on your phone EE control on XLeRobot and Franka

14,618 次观看

Videos

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No world model is accurate, especially the intuitive one in your head Most video models collapse the future into one deterministic rollout, slowly ManiDreams keeps the uncertainty, and plans over it in a modular framework 😴Dream, 🤔Predict, 📦Constrain

No world model is accurate, especially the intuitive one in your head Most video models collapse the future into one deterministic rollout, slowly ManiDreams keeps the uncertainty, and plans over it in a modular framework 😴Dream, 🤔Predict, 📦Constrain

158,400 次观看 • 1 个月前

Catching a flying ball is hard. What if with a flat plate? 🏓 Our work at RSS’26 shows it’s possible through Zero-Shot Sim2Real With Domain-Randomized Instance Set (DRIS), we catches different kinds of balls without any real-world fine-tuning 🔗

Catching a flying ball is hard. What if with a flat plate? 🏓 Our work at RSS’26 shows it’s possible through Zero-Shot Sim2Real With Domain-Randomized Instance Set (DRIS), we catches different kinds of balls without any real-world fine-tuning 🔗

67,760 次观看 • 1 个月前

Why can't “world models” just be sim? A real-time real2sim demo in the upcoming “ManiDreams” Foundation Stereo + SAM2 + Newton = Generalizable 3D physics prediction in a fast (15FPS) and lightweight (3070) way. No data or object mesh needed

Why can't “world models” just be sim? A real-time real2sim demo in the upcoming “ManiDreams” Foundation Stereo + SAM2 + Newton = Generalizable 3D physics prediction in a fast (15FPS) and lightweight (3070) way. No data or object mesh needed

30,474 次观看 • 2 个月前

Fast Foundation Stereo + SAM2 basically = zero shot Foundation Pose😂 No CAD model, no object image, just click the target. Run directly on my 3070 at 13fps, with a 30$ stereo camera (calibrated in 10min) Thanks Bowen Wen for his contribution to the community!

Fast Foundation Stereo + SAM2 basically = zero shot Foundation Pose😂 No CAD model, no object image, just click the target. Run directly on my 3070 at 13fps, with a 30$ stereo camera (calibrated in 10min) Thanks Bowen Wen for his contribution to the community!

22,496 次观看 • 3 个月前

Love this, tbh, the performance is really good! And only cost ~1200$. Also working with them on this cutie version that could be the next-level XLeRobot.

Love this, tbh, the performance is really good! And only cost ~1200$. Also working with them on this cutie version that could be the next-level XLeRobot.

16,106 次观看 • 4 个月前

XLeRobot trained with SmolVLA, shot in real-time. This makes me really looking forward to the hackathon on Oct 24-25. Made by Makermods QiLiu.

XLeRobot trained with SmolVLA, shot in real-time. This makes me really looking forward to the hackathon on Oct 24-25. Made by Makermods QiLiu.

27,183 次观看 • 8 个月前

Why Open-source With Isaac sim, GR00T, SmolVLA, 660$ XLeRobot can organize stuff into drawer and zipping up bag in 2 days Made by MakerMods Isaac Sin QI LIU Ryan Chan on Seeed Studio Hugging Face NVIDIA Robotics Home Robot Hackathon in Shenzhen (Bay Area next)

Why Open-source With Isaac sim, GR00T, SmolVLA, 660$ XLeRobot can organize stuff into drawer and zipping up bag in 2 days Made by MakerMods Isaac Sin QI LIU Ryan Chan on Seeed Studio Hugging Face NVIDIA Robotics Home Robot Hackathon in Shenzhen (Bay Area next)

18,716 次观看 • 7 个月前

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