Hélder Ribeiro
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Hélder Ribeiro has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Gil Lopes
LIACC—Laboratory of Artificial Intelligence and Computer Science, Polytechnic Institute of Porto, 4200-072 Porto, Portugal
3 shared publications - Fernando Ribeiro
Industrial Electronics Department ALGORITMI Centre, 4800-058 Guimarães, Portugal
2 shared publications - Ricardo Roriz
ALGORITMI Research Center/LASI, University of Minho, Guimares, Portugal
2 shared publications - Tiago V. Maia
Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
2 shared publications Cristiano Silva
School of Engineering of the University of Minho
1 shared publication- Marc Franch
Universitat de Barcelona
1 shared publication
Latest Publications
- 29 November 2018
- Published by Springer Nature in European Journal of Wildlife Research
- Vol. 64 (6) , 77
A road mobile mapping device for supervised classification of amphibians on roads
- 29 November 2018
- Published by Springer Nature in European Journal of Wildlife Research
- Vol. 64 (6) , 77
A road mobile mapping device for supervised classification of amphibians on roads
- Open Access
- 4 September 2016
- Published by Springer Nature
- p. 409-421
Motion Control of Mobile Autonomous Robots Using Non-linear Dynamical Systems Approach
- 4 September 2016
- Published by Springer Nature
- p. 409-421
Open AccessMotion Control of Mobile Autonomous Robots Using Non-linear Dynamical Systems Approach
- Open Access
- 1 May 2016
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 168-173
Fast Computational Processing for Mobile Robots' Self-Localization
This paper intends to present a different approach to solve the Self-Localization problem regarding a RoboCup's Middle Size League game, developed by MINHO team researchers. The method uses white field markings as key points, to compute the position with least error, creating an error-based graphic where the minimum corresponds to the real position, that are computed by comparing the key (line) points with a precomputed set of values for each position. This approach allows a very fast local and global localization calculation, allowing the global localization to be used more often, while driving the estimate to its real value. Differently from the majority of other teams in this league, it was important to come up with a new and improved method to solve the traditional slow Self-Localization problem.
- 1 May 2016
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 168-173
Open AccessFast Computational Processing for Mobile Robots' Self-Localization
This paper intends to present a different approach to solve the Self-Localization problem regarding a RoboCup's Middle Size League game, developed by MINHO team researchers. The method uses white field markings as key points, to compute the position with least error, creating an error-based graphic where the minimum corresponds to the real position, that are computed by comparing the key (line) points with a precomputed set of values for each position. This approach allows a very fast local and global localization calculation, allowing the global localization to be used more often, while driving the estimate to its real value. Differently from the majority of other teams in this league, it was important to come up with a new and improved method to solve the traditional slow Self-Localization problem.