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Carlo Sferrazza

@carlo_sferrazza • 3,251 subscribers

MTS at @amazon FAR. Incoming Assistant Professor @eth_en. Postdoc @berkeley_ai. PhD @eth_en. Robotics, Artificial Intelligence, Humanoids, Tactile Sensing.

Shorts

Humanoids 🤖 will do anything humans can do. But are state-of-the-art algorithms up to the challenge? Introducing HumanoidBench, the first-of-its-kind simulated humanoid benchmark with 27 distinct whole-body tasks requiring intricate long-horizon planning and coordination. 🧵👇

Humanoids 🤖 will do anything humans can do. But are state-of-the-art algorithms up to the challenge? Introducing HumanoidBench, the first-of-its-kind simulated humanoid benchmark with 27 distinct whole-body tasks requiring intricate long-horizon planning and coordination. 🧵👇

117,422 görüntüleme

Can we make Transformers better and more efficient for robot learning? Excited to introduce Body Transformer (BoT), an architecture that leverages robot embodiment in the attention mechanism, by treating it as a graph of sensors and actuators.

Can we make Transformers better and more efficient for robot learning? Excited to introduce Body Transformer (BoT), an architecture that leverages robot embodiment in the attention mechanism, by treating it as a graph of sensors and actuators.

60,714 görüntüleme

Just released five robotics simulation environments we have been using to train reinforcement learning from vision and touch! Very easy to install. Powered by Google DeepMind MuJoCo, Gymnasium, and robosuite. GitHub link:

Just released five robotics simulation environments we have been using to train reinforcement learning from vision and touch! Very easy to install. Powered by Google DeepMind MuJoCo, Gymnasium, and robosuite. GitHub link:

24,389 görüntüleme

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Sim-to-real learning for humanoid robots is a full-stack problem. Today, Amazon FAR is releasing a full-stack solution: Holosoma. To accelerate research, we are open-sourcing a complete codebase covering multiple simulation backends, training, retargeting, and real-world inference.

Sim-to-real learning for humanoid robots is a full-stack problem. Today, Amazon FAR is releasing a full-stack solution: Holosoma. To accelerate research, we are open-sourcing a complete codebase covering multiple simulation backends, training, retargeting, and real-world inference.

Carlo Sferrazza

219,046 görüntüleme • 10 ay önce

Ever wondered what robots 🤖 could achieve if they could not just see – but also feel and hear? Introducing FuSe: a recipe for finetuning large vision-language-action (VLA) models with heterogeneous sensory data, such as vision, touch, sound, and more. Details in the thread 👇

Ever wondered what robots 🤖 could achieve if they could not just see – but also feel and hear? Introducing FuSe: a recipe for finetuning large vision-language-action (VLA) models with heterogeneous sensory data, such as vision, touch, sound, and more. Details in the thread 👇

Carlo Sferrazza

46,111 görüntüleme • 1 yıl önce

Sim2real is getting so mature that with great hardware (thanks Clemens Christoph Robert Katzschmann), you can get things running in just days 🤖 We are also demoing ORCA Dexterity trained with MuJoCo Playground at #RSS2025. Come by Associates Park at 12:30pm-2pm and 6:30pm-8pm! Robotics: Science and Systems

Sim2real is getting so mature that with great hardware (thanks Clemens Christoph Robert Katzschmann), you can get things running in just days 🤖 We are also demoing ORCA Dexterity trained with MuJoCo Playground at #RSS2025. Come by Associates Park at 12:30pm-2pm and 6:30pm-8pm! Robotics: Science and Systems

Carlo Sferrazza

16,137 görüntüleme • 1 yıl önce

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