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ORCIDFrom Motor Learning to Interaction Learning in Robots 2010
- Olivier Sigaud, Jan Peters:
From Motor Learning to Interaction Learning in Robots. Studies in Computational Intelligence 264, Springer 2010, ISBN 978-3-642-05180-7 - Olivier Sigaud, Jan Peters
:
From Motor Learning to Interaction Learning in Robots. 1-12
Biologically Inspired Models for Motor Learning
- Armin Duff, César Rennó-Costa, Encarni Marcos, Andre L. Luvizotto, Andrea Giovannucci, Martí Sánchez-Fibla, Ulysses Bernardet, Paul F. M. J. Verschure:
Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior. 15-41 - Matthieu Lagarde, Pierre Andry, Philippe Gaussier, Sofiane Boucenna, Laurence Hafemeister:
Proprioception and Imitation: On the Road to Agent Individuation. 43-63 - Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar:
Adaptive Optimal Feedback Control with Learned Internal Dynamics Models. 65-84 - Oliver Herbort, Martin V. Butz, Gerulf K. M. Pedersen:
The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics. 85-106 - Pierre-Yves Oudeyer, Adrien Baranes, Frédéric Kaplan:
Intrinsically Motivated Exploration for Developmental and Active Sensorimotor Learning. 107-146
Learning Policies for Motor Control
- Matteo Fumagalli, Arjan Gijsberts, Serena Ivaldi, Lorenzo Jamone, Giorgio Metta, Lorenzo Natale, Francesco Nori, Giulio Sandini:
Learning to Exploit Proximal Force Sensing: A Comparison Approach. 149-167 - Camille Salaün, Vincent Padois, Olivier Sigaud:
Learning Forward Models for the Operational Space Control of Redundant Robots. 169-192 - Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters:
Real-Time Local GP Model Learning. 193-207 - Jens Kober, Betty J. Mohler, Jan Peters:
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling. 209-225 - Marc Toussaint, Christian Goerick:
A Bayesian View on Motor Control and Planning. 227-252 - Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar:
Methods for Learning Control Policies from Variable-Constraint Demonstrations. 253-291 - John W. Roberts, Lionel Moret, Jun Zhang, Russ Tedrake:
Motor Learning at Intermediate Reynolds Number: Experiments with Policy Gradient on the Flapping Flight of a Rigid Wing. 293-309
Imitation and Interaction Learning
- Manuel Lopes, Francisco S. Melo, Luis Montesano, José Santos-Victor:
Abstraction Levels for Robotic Imitation: Overview and Computational Approaches. 313-355 - Rawichote Chalodhorn, Rajesh P. N. Rao:
Learning to Imitate Human Actions through Eigenposes. 357-381 - Dana Kulic, Yoshihiko Nakamura:
Incremental Learning of Full Body Motion Primitives. 383-406 - Daniel H. Grollman, Odest Chadwicke Jenkins:
Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration? 407-430 - Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Mobile Robot Motion Control from Demonstration and Corrective Feedback. 431-450 - Renaud Detry, Emre Baseski, Mila Popovic, Younes Touati, Norbert Krüger, Oliver Kroemer, Jan Peters, Justus H. Piater:
Learning Continuous Grasp Affordances by Sensorimotor Exploration. 451-465 - Jonas Hörnstein, Lisa Gustavsson, José Santos-Victor, Francisco Lacerda:
Multimodal Language Acquisition Based on Motor Learning and Interaction. 467-489 - Stéphane Lallée, Eiichi Yoshida, Anthony Mallet, Francesco Nori, Lorenzo Natale, Giorgio Metta, Felix Warneken, Peter Ford Dominey:
Human-Robot Cooperation Based on Interaction Learning. 491-536
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