From Motor Learning to Interaction Learning in Robots /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Sigaud, Olivier. (Editor ), Peters, Jan. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Studies in Computational Intelligence, 264
Materias:
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024 7 |a 10.1007/978-3-642-05181-4  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
245 1 0 |a From Motor Learning to Interaction Learning in Robots /  |c edited by Olivier Sigaud, Jan Peters. 
250 |a 1st ed. 2010. 
260 # # |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2010. 
300 |a XI, 538 p. :  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Studies in Computational Intelligence,  |v 264 
505 0 |a From Motor Learning to Interaction Learning in Robots -- From Motor Learning to Interaction Learning in Robots -- I: Biologically Inspired Models for Motor Learning -- Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior -- Proprioception and Imitation: On the Road to Agent Individuation -- Adaptive Optimal Feedback Control with Learned Internal Dynamics Models -- The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics -- Intrinsically Motivated Exploration for Developmental and Active Sensorimotor Learning -- II: Learning Policies for Motor Control -- Learning to Exploit Proximal Force Sensing: A Comparison Approach -- Learning Forward Models for the Operational Space Control of Redundant Robots -- Real-Time Local GP Model Learning -- Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling -- A Bayesian View on Motor Control and Planning -- Methods for Learning Control Policies from Variable-Constraint Demonstrations -- Motor Learning at Intermediate Reynolds Number: Experiments with Policy Gradient on the Flapping Flight of a Rigid Wing -- III: Imitation and Interaction Learning -- Abstraction Levels for Robotic Imitation: Overview and Computational Approaches -- Learning to Imitate Human Actions through Eigenposes -- Incremental Learning of Full Body Motion Primitives -- Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration? -- Mobile Robot Motion Control from Demonstration and Corrective Feedback -- Learning Continuous Grasp Affordances by Sensorimotor Exploration -- Multimodal Language Acquisition Based on Motor Learning and Interaction -- Human-Robot Cooperation Based on Interaction Learning. 
650 0 |a Computational intelligence. 
650 0 |a Robotics. 
650 0 |a Automation. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computational Intelligence. 
650 2 4 |a Robotics and Automation. 
650 2 4 |a Artificial Intelligence. 
700 1 |a Sigaud, Olivier.  |e editor. 
700 1 |a Peters, Jan.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks