Intelligent Robots
A special issue of Robotics (ISSN 2218-6581).
Deadline for manuscript submissions: closed (31 March 2013) | Viewed by 83062
Special Issue Editors
Interests: evolutionary robotics; human-robot interaction; reinforcement learning; humanoid robots; service robots; intelligent robots
Interests: intelligent robots with a focus on brain-machine interface; evolutionary robotics; map building; multi-robot systems; humanoid robot
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Future robots are expected to operate in unstructured and unpredicted environments. Therefore, the robots must adapt their policy as environment changes. Learning and evolution have been proved to give good results generating a good mapping of various sensory data to robot action. The goal of this special issue is to bring together recent works from a wide range of topics concerning application of learning and evolution in robotics.
The scope of the special issue includes but is not limited:
- Reinforcement learning
- Evolutionary robotics
- Sensorimotor learning
- Combining learning and evolution
- Hierarchical learning
- Biologically motivated neural controllers
- Imitation learning
- Learning and evolution in multi robotic systems
Prof. Dr. Genci Capi
Guest Editor
Submission
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been extended substantially and completely re-written). All manuscripts are refereed through a 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. For the first couple of issues the Article Processing Charge (APC) will be waived for well-prepared manuscripts. English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.
Keywords
- reinforcement learning
- evolutionary robotics
- imitation learning
- hybrid learning
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