Eliminating sensor ambiguities via recurrent neural networks in sensor-based learning

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 3, Issue , 1998, Pages 2174-2179

  Cervera, Enric ^a   Del Pobil, Angel P ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

Computer networks; Computer science; Force sensors; Intelligent networks; Learning automata; Neural networks; Recurrent neural networks; Robot sensing systems; Robotics and automation; Uncertainty

Indexed keywords

AUTOMATA THEORY; AUTOMATION; COMPUTER NETWORKS; COMPUTER SCIENCE; INTELLIGENT NETWORKS; INTELLIGENT ROBOTS; NEURAL NETWORKS; ROBOTICS; COMPUTER ARCHITECTURE; FINITE AUTOMATA; RECURRENT NEURAL NETWORKS; SENSORS; STATE ESTIMATION;

FORCE SENSOR; INTERNAL REPRESENTATION; LEARNING ARCHITECTURES; LEARNING AUTOMATA; ROBOT SENSING SYSTEM; ROBOTIC MANIPULATION; STATE IDENTIFICATION; UNCERTAINTY;

RECURRENT NEURAL NETWORKS; ROBOT LEARNING;

ROBOTIC MANIPULATION;

EID: 0031637168     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.1998.680645     Document Type: Conference Paper

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