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Chenhao Li

@breadli428 • 7,034 subscribers

Robotics @GoogleDeepMind | Embodied intelligence and robot learning | Doctoral fellow @ETH_AI_Center, @leggedrobotics | Prev. @MIT, @ETH_en, @MPI_IS.

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People: robots are replacing humanity. Real: robot dance show at a leading robotic conference without moving a toe.

People: robots are replacing humanity. Real: robot dance show at a leading robotic conference without moving a toe.

1,341,547 görüntüleme • 10 ay önce

Great! This time they stopped inviting robots on the show. Video: CoRL 2025 at COEX, Seoul last year Conference on Robot Learning

Great! This time they stopped inviting robots on the show. Video: CoRL 2025 at COEX, Seoul last year Conference on Robot Learning

32,912 görüntüleme • 18 gün önce

What happens if you invite your non-robotics-research friend to “fight” your robots 👇

What happens if you invite your non-robotics-research friend to “fight” your robots 👇

128,304 görüntüleme • 6 ay önce

🧠Model-Based RL shows promises but has seen limited success in real-world robotics. 🌎Introducing Robotic World Model, a black-box end-to-end neural dynamics model that bridges this gap, where policies are trained purely in imagination. NeurIPS Conference 🎯

🧠Model-Based RL shows promises but has seen limited success in real-world robotics. 🌎Introducing Robotic World Model, a black-box end-to-end neural dynamics model that bridges this gap, where policies are trained purely in imagination. NeurIPS Conference 🎯

102,560 görüntüleme • 8 ay önce

Crazy 180kg ball-shaped robot by Zhejiang University smashingly rolling at #IROS2025!! ⚽️ 🏀 Coolest robot ever! 🤖

Crazy 180kg ball-shaped robot by Zhejiang University smashingly rolling at #IROS2025!! ⚽️ 🏀 Coolest robot ever! 🤖

90,196 görüntüleme • 9 ay önce

🌎World models can predict, but controlling real robots from imagination sees a long-standing failure due to hallucination. 🧠Introducing Uncertainty-Aware RWM: a black-box, end-to-end neural dynamics model with long-horizon uncertainty propagation. 🎯

🌎World models can predict, but controlling real robots from imagination sees a long-standing failure due to hallucination. 🧠Introducing Uncertainty-Aware RWM: a black-box, end-to-end neural dynamics model with long-horizon uncertainty propagation. 🎯

54,751 görüntüleme • 6 ay önce

I appreciate the confidence by Rainbow Robotics when they drove the robot dog into crowds. #CoRL2025 Very swift and agile. I rarely call a locomotion controller elegant but this is how it felt. Long video in 🧵

I appreciate the confidence by Rainbow Robotics when they drove the robot dog into crowds. #CoRL2025 Very swift and agile. I rarely call a locomotion controller elegant but this is how it felt. Long video in 🧵

69,836 görüntüleme • 10 ay önce

🤷What if we want to learn from human data... without human data? In our work NIL (No-data Imitation Learning) #CVPR2026, we explore a simple but ambitious question: Can robots learn directly from AI-generated videos without any curated demonstration data? 🔗

🤷What if we want to learn from human data... without human data? In our work NIL (No-data Imitation Learning) #CVPR2026, we explore a simple but ambitious question: Can robots learn directly from AI-generated videos without any curated demonstration data? 🔗

13,877 görüntüleme • 1 ay önce

Dexterous manipulation demo by ROBOTIS. Surprisingly fast responses. Perfect for messaging. 💆

Dexterous manipulation demo by ROBOTIS. Surprisingly fast responses. Perfect for messaging. 💆

48,136 görüntüleme • 10 ay önce

Physical Intelligence Physical Intelligence coffee demo at #NeurIPS2025. What’s the hot take?

Physical Intelligence Physical Intelligence coffee demo at #NeurIPS2025. What’s the hot take?

37,683 görüntüleme • 7 ay önce

✨ICLR 2024 Spotlight Still hand-labeling phases or tuning GANs with your trajectories? We propose FLD, a self-supervised representation method that extracts spatial-temporal relationships in high-dimensional trajectories. RL policies informed by FLD show extended generality.🧵

✨ICLR 2024 Spotlight Still hand-labeling phases or tuning GANs with your trajectories? We propose FLD, a self-supervised representation method that extracts spatial-temporal relationships in high-dimensional trajectories. RL policies informed by FLD show extended generality.🧵

81,933 görüntüleme • 2 yıl önce

An incredibly fun demo of a modular legged wheel design that merges into a single unit by Direct Drive Innovation at #IROS2025. Currently, it is being driven by two people by hand 🤖

An incredibly fun demo of a modular legged wheel design that merges into a single unit by Direct Drive Innovation at #IROS2025. Currently, it is being driven by two people by hand 🤖

27,334 görüntüleme • 9 ay önce

🪞Symmetry helps shape RL policies. 🧠Can it also improve memory and task understanding? ✅We introduce Symmetry-Guided Memory Augmentation, combining structured experience augmentation with memory-based context inference to boost learning efficiency. 🔗

🪞Symmetry helps shape RL policies. 🧠Can it also improve memory and task understanding? ✅We introduce Symmetry-Guided Memory Augmentation, combining structured experience augmentation with memory-based context inference to boost learning efficiency. 🔗

14,863 görüntüleme • 4 ay önce

✈️ Train policies ULTRA FAST without a simulator.

✈️ Train policies ULTRA FAST without a simulator.

18,088 görüntüleme • 6 ay önce

I'm uploading a recording here to make up for the cut-off during our onsite presentation NeurIPS Conference #NeurIPS2025. 🙏We are deeply grateful for your previous support and the encouragement to upload this recording. ⭐️Despite the interruption, our work was recognized with an Outstanding Paper award.

I'm uploading a recording here to make up for the cut-off during our onsite presentation NeurIPS Conference #NeurIPS2025. 🙏We are deeply grateful for your previous support and the encouragement to upload this recording. ⭐️Despite the interruption, our work was recognized with an Outstanding Paper award.

17,025 görüntüleme • 7 ay önce

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