From Motor Learning to Interaction Learning in Robots /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Studies in Computational Intelligence,
264 |
| Materias: |
Tabla de Contenidos:
- 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.