Adaptive Neuro-Fuzzy-Expert Controller of a Robotic Gripper

Advanced robotic systems require an end effector capable of achieving considerable gripping dexterity in unstructured environments. A dexterous end effector has to be able of dynamic adaptation to novel and unforeseen situation. Thus, it is vital that gripper controller is able to learn from its per...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Domínguez-López, Jorge Axel
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Control theory. Systems Exact sciences and technology Expert System Failure Signal Markov Decision Process Robotics Slip Rate Unstructured Environment
Online-Zugang:	Volltext
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