Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Reinforcement Learning for Robotics Applications"
A special issue of Robotics (ISSN 2218-6581).
Deadline for manuscript submissions: 30 April 2020.
Interests: robotics and mechatronics; control systems; intelligent systems; multi-sensory data fusion
With the ever-increasing complexity of current robotic systems, it is becoming empirically important that they develop their own intelligence to reduce their dependence on human operators. Reinforcement learning is an artificial intelligence technique that has been regarded by several researchers as among the most promising vehicles leading in this direction. It is a machine learning concept that teaches an agent how to choose its actions in a dynamic environment in such a way that maximizes a cumulative reward. Thanks to its relative simplicity and effectiveness in handling systems with large uncertainties, the robotic community has shown a growing interest in these algorithms. A number of successful robotic applications of such methods have been recently reported in the literature. Such applications range from mapless navigation and model-free control to object grasping and multirobot coordination.
This Special Issue invites researchers to showcase their novel contributions to the theory and applications of reinforcement learning in the field of robotics. It aims at promoting the recent advances in this research field while highlighting the main real-world challenges that are yet to be overcome. Potential topics include, but are not limited to, the following:
- Deep reinforcement learning model-based methods
- Autonomous robots lifelong learning
- Multi-task reinforcement learning
- Goal-based skill learning
- Reinforcement learning in humanoid robotics
- Computational emotion models
- Imitation learning
- Self-supervised learning
- Inverse reinforcement learning
- Assistive and medical technologies
- Multi-agent learning
- Cooperating swarm robotics
- System identification
- Intelligent control systems
Prof. Dr. Wail Gueaieb
Dr. Mohammed Abouheaf
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Robotics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.