E-LIB Suche - Ergebnisse für: Martins, Felipe N.

1

Analytical Formalism for Data Representation and Object Det..:

Fagundes Jr., Leonardo A. ; Caldeira, Alexandre G. ; Quemelli, Matheus B...
Sensors. 24 (2024) 7 - p. 2284 , 2024

Link: https://doi.org/10.3390/..

2

Editorial: Educational robotics and competitions:

Martins, Felipe N. ; Lima, José ; Oliveira, Andre Schneider de..
Frontiers in Robotics and AI. 11 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

3

Joint Interference and Power Minimization for Fault-Toleran..:

De Moraes, Renato E. N. ; Silva, Yngrith S. ; Martins, Felipe N...
IEEE Access. , 2024

Link: https://doi.org/10.1109/..

4

Smart Robotics for Automation:

Martins, Felipe N.
Sensors. 24 (2024) 12 - p. 3900 , 2024

Link: https://doi.org/10.3390/..

5

Deep Learning-Based Localization Approach for Autonomous Ro..:

, In: Communications in Computer and Information Science; Optimization, Learning Algorithms and Applications,

Klein, Luan C. ; Mendes, João ; Braun, João... - p. 181-194 , 2024

Link: https://doi.org/10.1007/..

6

A Machine Learning Approach to Robot Localization Using Fid..:

Klein, Luan C. ; Braun, João ; Mendes, João...
Sensors. 23 (2023) 6 - p. 3128 , 2023

Link: https://doi.org/10.3390/..

7

Enhancing Motivation and Learning in Engineering Courses: A..:

, In: 2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE),

Lima, Jose ; Pinto, Milena F. ; Martins, Felipe N... - p. 701-706 , 2023

Link: https://doi.org/10.1109/..

8

Using Machine Learning Approaches to Localization in an Emb..:

, In: 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC),

Klein, Luan C. ; Braun, Joao ; Martins, Felipe N.... - p. 69-74 , 2023

Link: https://doi.org/10.1109/..

9

Moving robotics competitions virtual: The case study of Rob..:

Martins, Felipe N. ; Matejov, Adrián ; Šuppa, Marek
Frontiers in Robotics and AI. 9 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

10

Deep Reinforcement Learning Applied to a Robotic Pick-and-P..:

, In: Communications in Computer and Information Science; Optimization, Learning Algorithms and Applications,

Gomes, Natanael Magno ; Martins, Felipe N. ; Lima, José. - p. 251-265 , 2021

Link: https://doi.org/10.1007/..

11

A Velocity-Based Dynamic Model and Its Properties for Diffe..:

Martins, Felipe N. ; Sarcinelli-Filho, Mário ; Carelli, Ricardo
Journal of Intelligent & Robotic Systems. 85 (2016) 2 - p. 277-292 , 2016

Link: https://doi.org/10.1007/..

12

An adaptive dynamic controller for autonomous mobile robot ..:

Martins, Felipe N. ; Celeste, Wanderley C. ; Carelli, Ricardo..
Control Engineering Practice. 16 (2008) 11 - p. 1354-1363 , 2008

Link: https://doi.org/10.1016/..

13

Teaching Practical Robotics During the COVID-19 Pandemic: A..:

, In: ROBOT2022: Fifth Iberian Robotics Conference; Lecture Notes in Networks and Systems,

Lima, José ; N. Martins, Felipe ; Costa, Paulo - p. 538-549 , 2022

Link: https://doi.org/10.1007/..

14

Using machine learning approaches to localization in an emb..:

Klein, Luan C ; Braun, João ; Martins, Felipe N...
Klein, Luan C.; Braun, João; Martins, Felipe N.; Wörtche, Heinrich; Oliveira, Andre Schneider; Mendes, João; Pinto, Vítor H.; Costa, Paulo (2023). Using machine learning approaches to localization in an embedded system on RobotAtFactory 4.0 competition: a case study. In IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). Tomar. p. p. 69-74. ISBN 979-835030121-2. , 2023

Link: http://hdl.handle.net/10..

15

Teaching practical robotics during the COVID-19 pandemic: a..:

Lima, José ; Martins, Felipe N ; Costa, Paulo Gomes da
Lima, José; Martins, Felipe; Costa, Paulo (2023). Teaching practical robotics during the COVID-19 pandemic: a case study on regular and hardware-in-the-loop simulations. In 5th Iberian Robotics Conference, ROBOT 2022. Zaragoza. 589, p. 538-549. , 2023

Link: http://hdl.handle.net/10..