Self-organizing feature maps for modeling and control of robotic manipulators (2003)
- Authors:
- Autor USP: ARAUJO, ALUIZIO FAUSTO RIBEIRO - EESC
- Unidade: EESC
- Assunto: MANIPULADORES (CONTROLE)
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Intelligent and Robotic Systems
- ISSN: 0924-3992
- Volume/Número/Paginação/Ano: v. 36, n. 4, p. 407-450, Apr. 2003
-
ABNT
BARRETO, Guilherme de Alencar; ARAÚJO, Aluizio Fausto Ribeiro; RITTER, Helge J. Self-organizing feature maps for modeling and control of robotic manipulators. Journal of Intelligent and Robotic Systems, Dordrecht, v. 36, n. 4, p. 407-450, 2003. Disponível em: < http://ipsapp009.kluweronline.com/content/search/4855/66/8/fulltext.pdf >. -
APA
Barreto, G. de A., Araújo, A. F. R., & Ritter, H. J. (2003). Self-organizing feature maps for modeling and control of robotic manipulators. Journal of Intelligent and Robotic Systems, 36( 4), 407-450. Recuperado de http://ipsapp009.kluweronline.com/content/search/4855/66/8/fulltext.pdf -
NLM
Barreto G de A, Araújo AFR, Ritter HJ. Self-organizing feature maps for modeling and control of robotic manipulators [Internet]. Journal of Intelligent and Robotic Systems. 2003 ; 36( 4): 407-450.Available from: http://ipsapp009.kluweronline.com/content/search/4855/66/8/fulltext.pdf -
Vancouver
Barreto G de A, Araújo AFR, Ritter HJ. Self-organizing feature maps for modeling and control of robotic manipulators [Internet]. Journal of Intelligent and Robotic Systems. 2003 ; 36( 4): 407-450.Available from: http://ipsapp009.kluweronline.com/content/search/4855/66/8/fulltext.pdf - Chaos from PWM electrohidraulic
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- Competitive and temporal Hebbian learning for production of robot trajectories
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- Fast learning of robot trajectories via unsupervised neural networks
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- Applying topological maps to accelerate reinforcement learning in mobile robot navigation
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