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Ricardo Emerson Julio's Projects

dynamic_bandwidth_manager icon dynamic_bandwidth_manager

Communication is an important component in robotic systems. The application goals such as, finding a victim or teleoperate a robot in an obstacle avoiding application, may get affected if there are problems in communication between system agents. The developed package, dynamic_bandwidth_manager (DBM), was designed to maximize bandwidth usage in multi-robot systems. DBM controls the rate that a node publishes a topic, managing different channels where commands, sensory data and video frames are exchanged.

evolve icon evolve

Database migration tool for .NET and .NET Core projects. Inspired by Flyway.

hratc2017_expertinos_team icon hratc2017_expertinos_team

The Anti-Personnel Mine Ban Convention is one of the world's most widely accepted treaties with 162 States Parties agreeing not to use, stockpile, produce or transfer antipersonnel mines. Although this has had profound impact worldwide, there is a non-negligible conflict legacy that still has provoked terrible consequences. According to the UN Mine Action Service, landmines kill 15,000-20,000 people every year (mostly children) and maim countless more across 78 countries. Demining efforts cost US$ 300-1000 per mine, and, for every 5000 mines cleared, one person is killed and two are injured. Thus, clearing post-combat regions of landmines has proven to be a difficult, risky, dangerous and expensive task with enormous social implications for civilians. Motivated by these considerations, the IEEE Robotics & Automation Society’s Special Interest Group on Humanitarian Technology (RAS–SIGHT) is inviting the academic and non-academic community to participate in the fourth Humanitarian Robotics and Automation Technology Challenge (HRATC) at the 2017 International Conference on Robotics and Automation (ICRA’17). This fourth HRATC edition will follow the footsteps of previous ones and continue to focus on promoting the development of new strategies for autonomous landmine detection using a mobile (ground) robot. HRATC Challenge has three phases: 1) Simulation Phase, 2) Testing Phase, and 3) Finals Phase. The strategies developed by the participating teams will be according to the following criteria: exploration time and environmental coverage; detection and classification quality; and landmine avoidance. Teams will be progressively eliminated after each phase and the remaining teams would move on to the next phase culminating in the Challenge (Finals) phase at ICRA’17.

mdppuzzle icon mdppuzzle

Puzzle application using Markov decision processes (MDPs). MDP provide a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker.

programming_collective_intelligence icon programming_collective_intelligence

This repository contains tests and examples developed by me based on the book Programming Collective Intelligence Building: Smart Web 2.0 Applications (Toby Segaran).

udacity-ai-for-robotics icon udacity-ai-for-robotics

My solutions to some quizzes, exercises, and projects in the Udacity Artificial Intelligence for Robotics course

web-app icon web-app

Base web app using .net Web API and Angular

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