7 documents found, page 1 of 1
Editorial: Educational robotics and competitions
Martins, Felipe N.; Lima, José; Oliveira, Andre Schneider; Costa, Paulo Gomes da; Eguchi, AmySTEM education endeavors to instill fundamental principles of science, technology, engineering, and mathematics, fostering a passion that propels students toward careers in these fields. Robotics, as a formidable educational tool, goes beyond theoretical learning by immersing students in practical projects that demand problem-solving skills. Its inherently multidisciplinary nature encourages the integration of ...
Deep learning-based localization approach for autonomous robots in the robotAtF...
Klein, Luan C.; Mendes, João; Braun, João; Martins, Felipe N.; Oliveira, Andre Schneider; Costa, Paulo Gomes da; Wörtche, Heinrich; Lima, JoséAccurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning solution employing Convolutional Neural Networks (CNN) to tackle the localization problem, specifically ...
A machine learning approach to robot localization using fiducial markers in rob...
Klein, Luan C.; Braun, João; Mendes, João; Pinto, Vítor H.; Martins, Felipe N.; Oliveira, Andre Schneider; Oliveira, Andre Schneider; Wörtche, HeinrichLocalization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model calculations. This work proposes a machine learning approach to solve the localization problem in the RobotAt...
Using machine learning approaches to localization in an embedded system on Robo...
Klein, Luan C.; Braun, João; Martins, Felipe N.; Wörtche, Heinrich; Oliveira, Andre Schneider; Mendes, João; Pinto, Vítor H.; Costa, Paulo Gomes daThe use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on the feasibility of using machine learning in a Raspberry Pi 4 Model B, solving the localization problem using im...
Teaching practical robotics during the COVID-19 pandemic: a case study on regul...
Lima, José; Martins, Felipe N.; Costa, Paulo Gomes daLaboratory experiments are important pedagogical tools in engineering courses. Restrictions related to the COVID-19 pandemic made it very difficult or impossible for laboratory classes to take place, resulting on a fast transition to simulation as an approach to guarantee the effectiveness of teaching. Simulation environments are powerful tools that can be adopted for remote classes and self-study. With these t...
Enhancing motivation and learning in engineering courses: a challenge-based app...
Lima, José; Pinto, Milena F.; Martins, Felipe N.; Hering-Bertram, Martin; Costa, Paulo Gomes daThis paper addresses an approach to teaching embedded systems programming through a challenge-based competition involving robots. This pedagogical project distinguishes itself by incorporating international students from three international institutions through the Blended Intensive Program (BIP). The research findings indicate that this approach yields excellent results regarding student engagement and learnin...
Deep reinforcement learning applied to a robotic pick-and-place application
Gomes, Natanael Magno; Martins, Felipe N.; Lima, José; Wörtche, HeinrichIndustrial robot manipulators are widely used for repetitive applications that require high precision, like pick-and-place. In many cases, the movements of industrial robot manipulators are hard-coded or manually defined, and need to be adjusted if the objects being manipulated change position. To increase flexibility, an industrial robot should be able to adjust its configuration in order to grasp objects in v...