From Motor Learning to Interaction Learning in Robots

Chapter 1 From Motor Learning to Interaction Learning in Robots

Chapter 2 Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior

Chapter 3 Proprioception and Imitation: On the Road to Agent Individuation

Chapter 4 Adaptive Optimal Feedback Control with Learned Internal Dynamics Models

Chapter 5 The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics

Chapter 6 Intrinsically Motivated Exploration for Developmental and Active Sensorimotor Learning

Chapter 7 Learning to Exploit Proximal Force Sensing: A Comparison Approach

Chapter 8 Learning Forward Models for the Operational Space Control of Redundant Robots

Chapter 9 Real-Time Local GP Model Learning

Chapter 10 Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling

Chapter 11 A Bayesian View on Motor Control and Planning

Chapter 12 Methods for Learning Control Policies from Variable-Constraint Demonstrations

Chapter 13 Motor Learning at Intermediate Reynolds Number: Experiments with Policy Gradient on the Flapping Flight of a Rigid Wing

Chapter 14 Abstraction Levels for Robotic Imitation: Overview and Computational Approaches

Chapter 15 Learning to Imitate Human Actions through Eigenposes

Chapter 16 Incremental Learning of Full Body Motion Primitives

Chapter 17 Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration?

Chapter 18 Mobile Robot Motion Control from Demonstration and Corrective Feedback

Chapter 19 Learning Continuous Grasp Affordances by Sensorimotor Exploration

Chapter 20 From Motor Learning to Interaction Learning in Robots

Chapter 21 Human-Robot Cooperation Based on Interaction Learning