Evaluating the impact of the number of access points in mobile robots localization using artificial neural networks (2011)
- Authors:
- USP affiliated authors: OSÓRIO, FERNANDO SANTOS - ICMC ; UEYAMA, JO - ICMC ; WOLF, DENIS FERNANDO - ICMC
- Unidade: ICMC
- DOI: 10.1145/2016551.2016561
- Subjects: ENGENHARIA DE SOFTWARE; SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- ISBN: 9781450305600
- Source:
- Título: Proceedings
- Conference titles: International Conference on Communication System Software and Middleware, 2011,
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PESSIN, Gustavo et al. Evaluating the impact of the number of access points in mobile robots localization using artificial neural networks. 2011, Anais.. New York: ACM, 2011. Disponível em: https://doi.org/10.1145/2016551.2016561. Acesso em: 12 fev. 2026. -
APA
Pessin, G., Osório, F. S., Ueyama, J., Souza, J. R. de, & Wolf, D. F. (2011). Evaluating the impact of the number of access points in mobile robots localization using artificial neural networks. In Proceedings. New York: ACM. doi:10.1145/2016551.2016561 -
NLM
Pessin G, Osório FS, Ueyama J, Souza JR de, Wolf DF. Evaluating the impact of the number of access points in mobile robots localization using artificial neural networks [Internet]. Proceedings. 2011 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1145/2016551.2016561 -
Vancouver
Pessin G, Osório FS, Ueyama J, Souza JR de, Wolf DF. Evaluating the impact of the number of access points in mobile robots localization using artificial neural networks [Internet]. Proceedings. 2011 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1145/2016551.2016561 - Evolução de redes neurais para localização de robôs móveis usando redes sem fio
- Self-localisation in indoor environments combining learning and evolution with wireless networks
- Evolving an indoor robotic localization system based on wireless networks
- Investigation on the evolution of an indoor robotic localization system based on wireless networks
- Swarm intelligence and the quest to solve a garbage and recycling collection problem
- Uncovering new neural network topologies in real world robot applications
- Mobile robot indoor localization using artificial neural networks and wireless networks
- Mobile robots navigation in indoor environments using kinect sensor
- Particle swarm optimization applied to intelligent vehicles squad coordination
- Path recognition for outdoor navigantion using artificial neural networks: case study
Informações sobre o DOI: 10.1145/2016551.2016561 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
