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Dynamic Legged Systems Lab
- Genova, Italy
- https://orcid.org/0000-0003-3007-3553
- https://scholar.google.com/citations?user=yt9v8skAAAAJ&hl=it
- @giulioturrisi.bsky.social
- https://www.threads.net/@valenorf
Highlights
- Pro
Stars
Interpolation and function approximation with JAX
Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
Elevation Mapping on GPU.
KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
🔁 AMP-RSL-RL: Adversarial Motion Priors for robotic RL (PPO + motion imitation)
NVIDIA Isaac GR00T N1 is the world's first open foundation model for generalized humanoid robot reasoning and skills.
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetric dynamical systems with decomposed Koopman operators per ea…
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
Reinforcement learning in differentiable multiphysics simulation in Warp.
A Python framework for accelerated simulation, data generation and spatial computing.
Advanced Linux Driver for Xbox One Wireless Controller (shipped with Xbox One S)
learning and feeling SLAM together with hands-on-experiments
A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and u…
ROS 2 Navigation Framework and System
Booster Gym is a reinforcement learning (RL) framework designed for humanoid robot locomotion developed by Booster Robotics.
A State Estimation Package for Quadruped Robots, that fuses Proprioceptive and Exteroceptive data
Sampling-based model predictive control on GPU with JAX/MJX
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
Collection of high-quality robo learning papers for bipedal robots.