Behavior Trees in Robotics and AI: An Introduction

Author:   Michele Colledanchise ,  Petter Ögren
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367571337


Pages:   206
Publication Date:   30 June 2020
Format:   Paperback
Availability:   In Print   Availability explained
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Behavior Trees in Robotics and AI: An Introduction


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Author:   Michele Colledanchise ,  Petter Ögren
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.380kg
ISBN:  

9780367571337


ISBN 10:   0367571331
Pages:   206
Publication Date:   30 June 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Michele Colledanchise is currently a postdoctoral researcher in the iCub Facility at the Italian Institute of Technology, Genoa, Italy. He received his Ph.D. degree in computer science from the Royal Institute of Technology (KTH), Stockholm, Sweden, in 2017. In the spring of 2016, he visited the Control and Dynamical Systems, Californa Institute of Technology (Caltech), Pasadena, CA. His research interests include control systems, system architectures, and automated planning, with a strong focus on robotic applications. Petter Ögren was born in Stockholm, Sweden, in 1974. He received theM.S. degree in engineering physics and the Ph.D. degree in applied mathematics from the Royal Institute of Technology (KTH), Stockholm, Sweden, in 1998 and 2003, respectively. In the fall of 2001, he visited the Mechanical Engineering Department, Princeton University, Princeton, NJ. From 2003 to 2012 he worked as a senior scientist and deputy research director in Autonomous Systems at the Swedish Defence Research Agency (FOI). He is currently an Associate Professor at the Robotics, Perception and Learning lab (RPL) at KTH. His research interests include robot control architectures and multi-agent coordination.

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