A self-organizing context-based approach to the tracking of multiple robot trajectories

DOI10.1023/A:1015742406259zbMath1007.68187OpenAlexW2079704552MaRDI QIDQ698429

Guilherme de A. Barreto, Aluizio F. R. Araújo

Publication date: 18 September 2002

Published in: Applied Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1015742406259

zbMATH Keywords

neural networkstrajectory trackingunsupervised learningroboticstemporal context

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Natural language processing (68T50)

Related Items (1)

A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case

Uses Software

• Robotics

Cites Work

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• A massively parallel architecture for a self-organizing neural pattern recognition machine
• Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements
• Self-organizing maps.

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