Open access peer-reviewed Edited Volume

Applications and Advances in Robot Learning

Andrej Gams

Jožef Stefan Institute


Takamitsu Matsubara

Nara Institute of Science and Technology


programming from/by demonstration apprenticeship learning iterative learning control repetitive learning control skill learning affordance learning gaussian process regression locally weighted regression policy learning learning in simulation end-to-end learning deep learning

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About the book

Tasks that seem natural to humans are often tricky for robots or artificial agents, furthermore, often they are difficult to implement – to program. Hard-to-engineer robot tasks are being tackled by learning algorithms not only in academic and research environments – robot learning has progressed into all aspects of robot applications and use, be it in industry, rehabilitation, assistive robotics, or in entertainment applications. The progress of robot learning has drastically changed the landscape of the applicability of robots. Going hand-in-hand with machine learning and exploiting deep learning techniques, have made robot learning one of the best prospects for technology with the potential to radically change our future. But to change the future, the foundations need to be firm. This book intends to provide the reader with just that. Through the representation of robot learning algorithms and their applications in both academic and real-world settings, the reader will obtain an overview of the possibilities of today’s robot learning and a prospect for the future.

Publishing process

Book initiated and editor appointed

Date completed: November 26th 2019

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: December 17th 2019

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: February 15th 2020

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: May 5th 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: July 4th 2020

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About the editor

Andrej Gams

Jožef Stefan Institute

Andrej Gams received his diploma degree and his Ph.D. in robotics from the University of Ljubljana, Slovenia. He is currently a senior research associate at Department of Automatics, Biocybernetics, and Robotics at Jožef Stefan Institute and an assistant professor at the Jožef Stefan International Postgraduate School. He was a postdoctoral researcher with SCIEX NMS-CH fellowship at the Biorobotics Laboratory, EPFL, Switzerland, and a visiting researcher at the ATR Computational Neuroscience Laboratories in Japan. His research interests are at the intersection of humanoid and applicative industrial robotics, specifically in robot learning in general, learning by imitation, compliance and adaptation of robot motion and cooperative human-robot operation. He has authored or co-authored 20-some journal papers and over 100 conference papers. He is an associate editor for International Journal of Advanced Robotic Systems, where he has been also a guest editor, associate editor for Frontiers in Neurorobotics, and has been a member of several conference editorial boards, including ICRA, IROS and Humanoids. Dr. Gams received the ICRA CEB Best Reviewer Award at the 2015 IEEE International Conference on Robotics and Automation in Seattle, USA, Best Scientific Paper award at the 23rd International Workshop on Robotics in Alpe-Adria-Danube Region, Smolenice, Slovakia (2014), Best Paper Research Award at the 19th International Workshop in the Alpe-Adria-Danube region in Budapest, Hungary (2010) and the Jožef Stefan Golden Emblem Award for his Ph.D. dissertation in 2012.

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