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.