You have Guest access.
Log In
Olivier Sigaud and Jan Peters
Front matter
1-12
From Motor Learning to Interaction Learning in Robots
15-41
Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior
43-63
Proprioception and Imitation: On the Road to Agent Individuation
65-84
Adaptive Optimal Feedback Control with Learned Internal Dynamics Models
85-106
The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics
107-146
Intrinsically Motivated Exploration for Developmental and Active Sensorimotor Learning
149-167
Learning to Exploit Proximal Force Sensing: A Comparison Approach
169-192
Learning Forward Models for the Operational Space Control of Redundant Robots
193-207
Real-Time Local GP Model Learning
209-225
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling
227-252
A Bayesian View on Motor Control and Planning
253-291
Methods for Learning Control Policies from Variable-Constraint Demonstrations
293-309
Motor Learning at Intermediate Reynolds Number: Experiments with Policy Gradient on the Flapping Flight of a Rigid Wing
313-355
Abstraction Levels for Robotic Imitation: Overview and Computational Approaches
357-381
Learning to Imitate Human Actions through Eigenposes
383-406
Incremental Learning of Full Body Motion Primitives
407-430
Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration?
431-450
Mobile Robot Motion Control from Demonstration and Corrective Feedback
451-465
Learning Continuous Grasp Affordances by Sensorimotor Exploration
467-489
Multimodal Language Acquisition Based on Motor Learning and Interaction
491-536
Human-Robot Cooperation Based on Interaction Learning
Back matter
This page requires script.
Frequently asked questions General info on journals and books Send us your feedback Impressum Contact us
© Springer, Part of Springer Science+Business Media Privacy, Disclaimer, Terms & Conditions, and Copyright Info