2018
Authors
Cardoso, Â; Sousa, A; Ferreira, H;
Publication
ICERI2018 Proceedings
Abstract
2018
Authors
Cardoso, Â; Sousa, A; Ferreira, H;
Publication
ICERI2018 Proceedings
Abstract
2018
Authors
Armando Jorge Sousa; Manuel Firmino Torres; Teresa Oliveira Ramos; Cristina Sousa Lopes; Sara Ferreira;
Publication
Abstract
2018
Authors
Silva, J; Costa, P; Gonçalves, J;
Publication
Human-Centric Robotics- Proceedings of the 20th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2017
Abstract
This paper describes the development of SMORA (Servo Motor Optimised for Robotic Applications), which consists of custom hardware and firmware that includes a microcontroller and a series of sensors, allowing for the motor current, temperature and voltage to be measured in real-time as well as precise position feedback thanks to the integrated hall-effect magnetic position encoder. It also incorporates an accelerometer and a gyroscope to measure the servo body relative position and rotation. © 2018 by World Scientific Publishing Co. Pte. Ltd.
2018
Authors
Piardi, L; Lima, J; Costa, P; Brito, T;
Publication
Advances in Intelligent Systems and Computing
Abstract
Some industries have critical areas (dangerous or hazardous) where the presence of a human must be reduced or avoided. In some cases, there are areas where humans should be replaced by robots. The present work uses a robot with differential drive to scan an environment with known and unknown obstacles, defined in 3D simulation. It is important that the robot be able to make the right decisions about its way without the need of an operator. A solution to this challenge will be presented in this paper. The control application and its communication module with a simulator or a real robot are proposed. The robot can perform the scan, passing through all the waypoints arranged in a grid. The results are presented, showcasing the robot’s capacity to perform a viable trajectory without human intervention. © Springer International Publishing AG 2018.
2018
Authors
Lima, J; Costa, P;
Publication
Advances in Intelligent Systems and Computing
Abstract
Solving the robot localization problem is one of the most necessary requirements for autonomous robots. Several methodologies can be used to determine its location as accurately as possible. What makes this difficult is the existence of uncertainty in the sensing of the robot. The uncertain information needs to be combined in an optimal way. This paper stresses a Kalman filter to combine information from the odometry and Ultra Wide Band Time of Flight distance modules, which lacks the orientation. The proposed system validated in a real developed platform performs the fusion task which outputs position and orientation of the robot. It is used to localize the robot and make a 3 DoF scanning of magnetic field in a room. Other examples can be pointed out with the same localization techniques in service and industrial autonomous robots. © Springer International Publishing AG 2018.
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