Carlo Sferrazza

@carlosferrazza.bsky.social

Postdoc at Berkeley AI Research. PhD from ETH Zurich. Robotics, Artificial Intelligence, Humanoids, Tactile Sensing. https://sferrazza.cc

Big news for open-source robot learning! We are very excited to announce MuJoCo Playground. The Playground is a reproducible sim-to-real pipeline that leverages MuJoCo ecosystem and GPU acceleration to learn robot locomotion and manipulation in minutes. playground.mujoco.org

MuJoCo.org@mujoco.bsky.social · 2y ago

Introducing playground.mujoco.org Combining MuJoCo’s rich and thriving ecosystem, massively parallel GPU-accelerated simulation, and real-world results across a diverse range of robot platforms: quadrupeds, humanoids, dexterous hands, and arms. Get started today: pip install playground

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 👇

Excited to share MaxInfoRL, a family of powerful off-policy RL algorithms! The core focus of this work was to develop simple, flexible, and scalable methods for principled exploration. Check out the thread below to see how MaxInfoRL meets these criteria while also achieving SOTA empirical results.

Carlo Sferrazza@carlosferrazza.bsky.social · 2y ago

🚨 New reinforcement learning algorithms 🚨 Excited to announce MaxInfoRL, a class of model-free RL algorithms that solves complex continuous control tasks (including vision-based!) by steering exploration towards informative transitions. Details in the thread 👇

🚨 New reinforcement learning algorithms 🚨 Excited to announce MaxInfoRL, a class of model-free RL algorithms that solves complex continuous control tasks (including vision-based!) by steering exploration towards informative transitions. Details in the thread 👇