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followers: 24.0 following: 41.0 repos: 25.0 gists: 0.0

Name: Andrea Patrizi

Type: User

Company: @ADVRHumanoids, Humanoids and Human Centered Mechatronics - Istituto Italiano di Tecnologia

Bio: Mechanical Engineer and Robotics Enthusiast, PhD student in Advanced Robotics - Humanoids and Human Centered Mechatronics, Istituto Italiano Tecnologia

Location: Italy

Andrea Patrizi's Projects

coclusterbridge icon coclusterbridge

Tool for bridging a CPU-based control cluster (e.g. of MPC controllers) with parallel simulation environments (e.g. based on Omniverse Isaac Sim). Aimed at facilitating the implementation of the training phase of Learning-Based Receding Horizon Control schemes.

easygif icon easygif

Simple bash script to convert a sequence of PNGs to GIF

ibrido icon ibrido

A Software Ecosystem for Research in Reinforcement Learning-based Receding Horizon Control

ibrido-containers icon ibrido-containers

Container utilities for rapid deployment of the IBRIDO software echosystem for Learning-based Receding Horizon Control

lrhcontrol icon lrhcontrol

Learning-based Receding Horizon Control exploiting Reinforcement Learning

omnirobogym icon omnirobogym

Wrapper on top of Omniverse Isaac Sim tailored to legged robotics control with learning techniques.

perfsleep icon perfsleep

Minimal python bindings using C++ clock_nanosleep and sleep_for to perform CPU-cheap and relatively low-latency sleep on non-rt systems.

phdbiorobbeamertemplate icon phdbiorobbeamertemplate

A simple and clean template for UniGe annual evaluation presentation, done in LaTeX and with video embedding support

phdbiorobreporttemplate icon phdbiorobreporttemplate

Simple template for the annual evaluation report of the PhD program in Bioengineering and Robotics @ UniGe

postertex icon postertex

Simple and clean LaTeX template for research posters, based on Beamer class

rhcviz icon rhcviz

Ros-powered minimal tool to visualize Receding Horizon Control solutions on RViz in realtime

sharsoripcpp icon sharsoripcpp

RT-friendly 2D shared tensors built on top of POSIX-IPC and Eigen, shipped with python bindings and NumPy support.

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