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Carlos Azevedo's Projects

battery_mockup icon battery_mockup

ROS package that simulates the battery charge and discharge of a multi-robot system.

deep_learning_basics icon deep_learning_basics

Some basic examples of deep learning neural networks that ilustrate the basic architectures and algorithms and respective implementations in python/pytorch.

gspn-framework icon gspn-framework

Framework that allows the design, execution and analysis of generalized stochastic Petri nets (GSPN). It allows capturing multi-robot problems as a GSPN and simulate the model.

gspn-gym-env icon gspn-gym-env

OpenAI gym enviroment that simulates a multi-robot system modeled as a generalized stochastic Petri net.

gspn-lib icon gspn-lib

Python API to create generalized stochastic Petri nets (GSPNs). It allows to capture multi-robot problems as a GSPN and simulate the model.

multi-robot-gspnr-toolbox icon multi-robot-gspnr-toolbox

MATLAB® toolbox that provides, through a user-friendly API, methods to model multi-robot coordination problems as generalized stochastic Petri nets with rewards.

multi_turtlebot3 icon multi_turtlebot3

Simulate, localize and navigate in gazebo multiple turtlebot3 with limited battery autonomy.

robot_state_publisher2 icon robot_state_publisher2

Allows you to publish the state of a robot (i.e the position of its base and all joints) via the "tf" transform library

rrt icon rrt

MATLAB implementation of the rapidly-exploring random trees (RRT) algorithm, as described in S. M. LaValle, “Rapidly-exploring random trees: A new tool for path planning,” 1998.

vaegan icon vaegan

VAEGAN: a framework to evaluate deep generative models for missing data imputation

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