27 documents found, page 1 of 3
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 ...
Collective mapping of gas leakages to determine safe routes using multi-robot s...
Rohrich, Ronnier Frates; Messias, Luís Felipe; Lima, José; Oliveira, Andre SchneiderThis article discusses a novel approach to collective mapping that uses autonomous sensors to create safe routes in environments with gas leaks. Multiple mobile sensors seek to delimit different regions and assign them different tasks according to their momentary needs. In this study, robot groups act as multiple composite sensors that can move independently according to their assigned functions. Autonomous det...
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 ...
Evaluation Metrics for Collaborative Fault Detection and Diagnosis in Cyber-Phy...
Piardi, Luis; Oliveira, Andre Schneider; Costa, Pedro; Leitão, PauloCyber-physical systems (CPS) rapidly expand within industrial contexts in a new era of digitalization, processing power, and inter-device communication capabilities. These advancements integrate technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud and edge computing, granting processes and operations a high degree of autonomy. In addition, these interconnections foster coll...
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...
Multi-robot task scheduling for consensus-based fault-resilient intelligent beh...
Kalempa, Vivian Cremer; Piardi, Luis; Limeira, Marcelo A.; Oliveira, Andre SchneiderIn smart factories, several mobile and autonomous robots are being utilized in warehouses to reduce overhead and operating costs. In this context, this paper presents a consensus-based faultresilient intelligent mechanism called Consensual Fault-Resilient Behavior (CFRB). The proposed approach is based on three hierarchical plans: imposition, negotiation, and consensus. Fault resilience is achieved using the co...
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...
Modelling of a vibration robot using localization ground truth assisted by aruc...
Matos, Diogo; Lima, José; Rohrich, Ronnier Frates; Oliveira, Andre Schneider; Valente, António; Costa, Pedro; Costa, Paulo Gomes daSimulators have been increasingly used on development and tests on several areas. They allow to speed up the development without damage and no extra costs. On realistic simulators, where kinematics play an important role, the modelling process should be imported for each component to be accurately simulated. Some robots are not yet modelled, as for example the Monera. This paper presents a model of a small vibr...
Robot at factory lite - a step-by-step educational approach to the robot assembly
Luiz, E. Luiz; Pilarski, Leonardo; Baidi, Kaïs; Braun, João; Oliveira, Andre Schneider; Lima, José; Costa, Paulo Gomes daIn a robotics scope, an excellent way to test and improve knowledge is through competitions. In other words, it is possible to follow the results in practice, compare them with the development of other teams and improve the current solutions. The Robot At Factory Lite proposal simulates an Industry 4.0 warehouse scenario, applying education through Science, Technology, Engineering, and Mathematics (STEM) method...
Collaborative fuzzy controlled obstacle avoidance in a vibration-driven mobile ...
Lewin, Gustavo Fontes; Fabro, João Alberto; Lima, José; Oliveira, Andre Schneider; Rohrich, Ronnier FratesSpecial care must be taken when considering robots designed to operate collaboratively, such as a swarm, to prevent these agents from being damaged due to unwanted collisions. This work proposes integrating techniques used to move robots, using the Robot Operating System (ROS) and Python’s Scikit-Fuzzy module. Thus, this work developed a fuzzy-controlled collaborative obstacle avoidance system for a type of rob...