Guest editorial: Special issue on robot learning, Part A

摘要

In this Part B of the Autonomous Robots Special Issue on Robot Learning, we complement the preceding Part A. Similar to Part A, we intend to highlight recent successes in the application of domain-driven machine learning methods to robotics. However, the papers selected for Part B have a slightly different focus than in Part A as they focus on more specialized approaches for a variety of different problems while showing the feasibility of more general methods. Part B consists of a representative sample of interesting recent results and important current work in this area. The papers were solicited from the same open call as that of Part A. All papers were rigorously reviewed by up to eight reviewers as well as by at least one of the guest editors—on average, all papers had 4.5 external reviewers. As a result, a small sample of eight papers has been selected for both Part A and B of the special issue. The second four papers form Part B of the special issue and are described next.