Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Matheus F. Reis"'
Publikováno v:
IEEE Access, Vol 11, Pp 52778-52789 (2023)
The Reinforcement Learning (RL) paradigm is showing promising results as a generic purpose framework for solving decision-making problems (e.g., robotics, games, finance). The aim of this work is to reduce the learning barriers and inspire young stud
Externí odkaz:
https://doaj.org/article/10017f2f6525414494de52f7a0d0a811
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
This paper presents results on recent developments pertaining to the coordinated motion control of a fleet of marine robotic vehicles. Specifically, we address the Cooperative Moving Path Following (CMPF) motion control problem, that consists of stee
Externí odkaz:
https://doaj.org/article/843df66370624140ab2cbdf8bbd07bad
Publikováno v:
IEEE Control Systems Letters. 5:731-736
Control Lyapunov functions (CLFs) and control barrier functions (CBFs) have been used to develop provably safe controllers by means of quadratic programs (QPs), guaranteeing safety in the form of trajectory invariance with respect to a given set. In
Publikováno v:
CONTROLO 2022 ISBN: 9783031100468
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0e9430aa73a99b3fe453ff10016991
https://doi.org/10.1007/978-3-031-10047-5_16
https://doi.org/10.1007/978-3-031-10047-5_16
Publikováno v:
IEEE Access. :1-1
An intelligible step-by-step Reinforcement Learning (RL) problem formulation and the availability of an easy-to-use demonstrative toolbox for students at various levels (e.g., undergraduate, bachelor, master, doctorate), researchers and educators. Th
Autor:
Matheus F. Reis, Gustavo Andrade, Francisco Neves, Paulo Silva, Romulo T. Rodrigues, A. Pedro Aguiar
Publikováno v:
OCEANS 2021: San Diego – Porto.
Publikováno v:
IEEE Robotics and Automation Letters. 4:3192-3199
This letter addresses the moving path following (MPF) motion control problem that consists of steering a robotic vehicle along a specified geometric path expressed with respect to a moving target frame. External disturbances that depend on the operat
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030586522
One of the applications of the Kalman filter in the field of robotics is to solve the problem of Simultaneous Localization and Mapping (SLAM). The main drawback of the Kalman filter is that its performance can degrade in the presence of non-Gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d3a9085964b14d8969cafbc011618e0
https://doi.org/10.1007/978-3-030-58653-9_53
https://doi.org/10.1007/978-3-030-58653-9_53
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Frontiers in Robotics and AI
Frontiers in Robotics and AI
This paper presents results on recent developments pertaining to the coordinated motion control of a fleet of marine robotic vehicles. Specifically, we address the Cooperative Moving Path Following (CMPF) motion control problem, that consists of stee
Publikováno v:
ACC
This paper addresses the state estimation and control of a robot/prosthesis control system with four joints: vertical hip displacement, thigh, knee and ankle angles. The motivation was inspired by several drawbacks regarding the usage of load cells a