Ricardo D. Caldas's repositories
ros-rvft.github.io
This repository collects guidelines that can help developers and QA teams when developing, verifying or testing their ROS-based robots in the field.
markov-sensors
This repository documents the replication package of the work entitled Self-Organized Mapping for environmental non-determinism simulation at WEKA
home-assistant_core
:house_with_garden: Open source home automation that puts local control and privacy first.
rclviz
Researcher Collaboration Visualizer is an open-source Python code that visualizes collaborations between researchers, using Google Scholar and geopy to generate a KML file with author locations and connections.
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
resilient_robotics
Contains a digital version of a poster on Resilient Robotics. How it summarizes and tells a story about architecting, verifying, validating and adapting robotics software.
ct4bsn-replication_package
Replication Package for Applying Combinatorial Testing for the Body Sensor Network: An Experience Report
mappingCTSEproperties
How to check control properties in source code? We map control properties into traditional software engineering properties in an attempt to solve the challenge.
activity_recognition
Repo for versioning the solution for the WASP AS1 activity recognition assignment.
bee_detection
Repo for versioning the solution for the WASP AS1 object detection assignment.
bsn_server
Servidor em Node.js para a BSN
bsn_server_api
This api serves as intermediate between bsn and bsn server
master_thesis_eval
A repository containing the bsn code implemented upon the ROS middleware, its dependencies and the experimental data collected through the executions for the master thesis case study and evaluation chapter
ROS_Scheduler
EDF message scheduler module for Robot Operating System (ROS)
dblp-pub
A scraper that downloads search results from DBLP.
bsn_Seams2019
Repo for versioning experimental Body Sensor Network (BSN) prototype in OpenDaVINCI and experimental data for SEAMS 2019.
q_learning_demo
This is the code for "How to use Q Learning in Video Games Easily" by Siraj Raval on Youtube
mycpplib
Personal data structure library to practice cpp development through TDD paradigm
CPA-022017
Trabalho final da disciplina de controle para automação da Universidade de Brasília (02/2017)