Stone Tao (@stone_tao) 's Twitter Profile
Stone Tao

@stone_tao

PhDing @UCSanDiego @HaoSuLabUCSD @hillbot_ai on scalable robot learning and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow

ID: 1136188068

linkhttp://stoneztao.com calendar_today31-01-2013 06:27:56

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Stone Tao (@stone_tao) 's Twitter Profile Photo

I won’t be at #ICML2025 but Adria will! He will be presenting the work he did during his time at my lab tomorrow from 11:00AM to 1:30PM, stop by and check it out!

Stone Tao (@stone_tao) 's Twitter Profile Photo

for robotics it’s also way harder in general vs text. You have way more modalities of inputs, and sometimes robotics data labels not only includes language, but an entire trajectory (generated via teleop for example). it’s quite easy to teleop in a way that’s hard to learn from

Vector Wang (@vectorwang2) 's Twitter Profile Photo

XLeRobot 0.2.3 (XLeVR) out! xlerobot.readthedocs.io • VR (Quest 3) Whole-body Control • Reads everything: head and hand poses, joysticks, and all the buttons • Minimal dependencies, web-based • Modular, can use it on other robots • Open-source, easy install, play in 20min

Mandi Zhao (@zhaomandi) 's Twitter Profile Photo

Probably the first and only public video from Skild AI: seeing Frankas, UR5s, humanoid arms - all bimanual robotiq 2f85 grippers?

Claas Voelcker (@c_voelcker) 's Twitter Profile Photo

🔥🚨 Preprint alert: Relative Entropy Pathwise Policy Optimization #REPPO 🚨🔥 What if you could have on-policy training without the instability and parameter tuning that plagues #PPO? What if training with deterministic policy gradient just worked? With our new method it does!

Stone Tao (@stone_tao) 's Twitter Profile Photo

might be the first time I made it personally on the trending developers list on github! One of the contributing factors being the lerobot sim2real code

might be the first time I made it personally on the trending developers list on github! One of the contributing factors being the lerobot sim2real code
Stone Tao (@stone_tao) 's Twitter Profile Photo

this is a common bar for physical AGI and an incredibly difficult one But I generally hope more people target physical “ASI” since we want robots to be able to do tasks much faster/safer than humans

Stone Tao (@stone_tao) 's Twitter Profile Photo

we need to move on to focusing on wall time more often. Fast dev cycles are what drive research and engineering to eventually being used by the broader public. Think of the success of isaac gym, that enabled fast iteration on locomotion and now everyone uses a variant of it. and

Seeed Studio (@seeedstudio) 's Twitter Profile Photo

🤖 Train in Sim. Deploy in Reality. In 1 Hour. Excited to share this community project: #XLeRobot lerobot-#sim2real, trained a policy in #ManiSkill (PPO, only RGB input) on RTX 4090 — and deployed directly to a real #robot manipulator, no fine-tuning needed! 🎯 Pick task