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Sirui Chen ✈️ CoRL2026

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@eric_srchen

PhD in Stanford CS, Prev Undergrad at HKU. Interested in robotics
Stanford, CA Joined September 2023
678 Following 731 Followers 206 Posts

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Sirui Chen ✈️ CoRL2026 Verified account @eric_srchen
Humanoids excel in free space but struggle with real-world contact. Meet SceneBot 🤖 the first unified RL framework for ALL free-space locomotion, terrain traversal and object interaction!
By conditioning on per-link contact labels, it masters complex, interaction-rich tasks like carrying a box upstairs. Code & data open-sourcing soon! 📦 🪜
Paper: arxiv.org/abs/2606.27581
Website: ericcsr.github.io/scenebot/
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Sirui Chen ✈️ CoRL2026 Verified account @eric_srchen
General scene interaction requires contact guidance!
C. Zhang @ChongZzZhang Oct 23
With @JayHe748646 @KehanWen170077 @leggedrobotics , we push humanoid mobility to next frontier.

Achieved by a generalist contact planner + a generalist tracker + a generalized neural mapping, warmstarted from few human data.

Website: leggedrobotics.github.io/ACP/
Promo Video 👇
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Sirui Chen ✈️ CoRL2026 Verified account @eric_srchen
Wild
Songbo Hu Verified account @songbo_ Oct 6
Can a humanoid learn robust whole-body loco-manipulation directly from a human? No robot, no teleop, no retargeting.
Meet Workhorse 🐴: our G1 topples and climbs a suitcase, catches a thrown box, and sorts boxes with hands and a kick. Fully autonomous.
More videos at hybridrobotics.github.io/workhorse/
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Sirui Chen ✈️ CoRL2026 Verified account @eric_srchen
We need a powerful system 2
Gio Huh ✈️ CoRL 2026 Verified account @giohuh_ Sep 26
What can Astra do when given a humanoid embodiment?

We built HomeBody to find out. Controlled by GPT Astra, it carries out long-horizon tasks in a previously unseen kitchen—from tidying up across the room to retrieving remembered objects from ambiguous requests—without environment-specific training data or additional policy learning.

Here's how we did it 👀: tml.stanford.edu/homebody/
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Sirui Chen ✈️ CoRL2026 Verified account @eric_srchen
Super impressive, congratulations!
Reward AI @RewardAI_ Sep 14
Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids.
- learned directly from human manipulation data
- no teleop/robot data
- close to human-level dexterity and efficiency
- multi-robot collab
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