𝔖 Bobbio Scriptorium
✦   LIBER   ✦

[Studies in Computational Intelligence] From Motor Learning to Interaction Learning in Robots Volume 264 || Adaptive Optimal Feedback Control with Learned Internal Dynamics Models

✍ Scribed by Sigaud, Olivier; Peters, Jan

Book ID
120477043
Publisher
Springer Berlin Heidelberg
Year
2010
Tongue
English
Weight
438 KB
Edition
1
Category
Article
ISBN
3642051812

No coin nor oath required. For personal study only.

✦ Synopsis

From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop “From motor to interaction learning in robots” held at the IEEE/RSJ International Conference on Intelligent Robot Systems. The major aim of the book is to give students interested the topics described above a chance to get started faster and researchers a helpful compandium.

📜 SIMILAR VOLUMES

[Studies in Computational Intelligence]
[Studies in Computational Intelligence] From Motor Learning to Interaction Learning in Robots Volume 264 || Incremental Learning of Full Body Motion Primitives
✍ Sigaud, Olivier; Peters, Jan 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 643 KB

From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop “From motor to interaction learning in robots” held at the IEEE/RSJ International

[Studies in Computational Intelligence]
[Studies in Computational Intelligence] From Motor Learning to Interaction Learning in Robots Volume 264 || The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics
✍ Sigaud, Olivier; Peters, Jan 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 876 KB

From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop “From motor to interaction learning in robots” held at the IEEE/RSJ International