LAIAR-2018: Learning Applications for Intelligent Autonomous Robots Kongresshaus Baden-Baden, Germany, June 11, 2018 |
Conference website | http://robotics.dei.unipd.it/laiar2018/ |
Submission link | https://easychair.org/conferences/?conf=laiar2018 |
The volume of researches and service and industrial applications using robot learning is continuously increasing. Machine learning is evolving really fast and applications of novel algorithms are often related to robotics. In a similar way, the capability of collecting information to guide the learning process is growing due to the presence of newer and more accurate sensors as well as a better integration between different devices. Nevertheless, there are specific difficulties in making robots learn autonomously new skills. The workshop will gather together different points of view in order to foster the discussion about recent uses of Robot Learning, and provide a view to future directions with an active interaction of researchers and practitioners.
Submission Guidelines
The content of all submissions has to be original and must not be submitted for consideration in any other conference or journal. Papers must be written in English. Papers will be reviewed by at least two reviewers, who will give detailed comments to insure high quality of the contributions. Papers must be prepared according the following guidelines: Springer authors guidelines The page limit is 12 pages for full paper submissions. We will also accept shorter papers (up to 4 pages) to be presented as posters. All the accepted papers and posters will be included in a DVD with an ISBN number, which will be distributed to the workshop attendees.
List of Topics
- Robot Learning by Demonstration
- Imitation Learning
- Programming by Demonstration
- Reinforcement Learning in Robotics
- Deep Learning and Model Control for Autonomous Robots
- State Estimation, Mapping, and Computer Vision
- Multimodal Perception and Sensor Fusion
- Learning-based Human Robot Interaction
- Interfaces for Learning Natural Language Instructions
- Learning Applications in Manipulation and Field Robotics
- Bioinspired Learning and Control
Invited Speakers
Dr. Sylvain Calinon
Dr. Serena Ivaldi
Dr. Jean-Baptiste Mouret
Organizers
Dr. Francesco Nori, Google DeepMind
Dr. Stefano Michieletto, University of Padova
Prof. Enrico Pagello, University of Padova
Venue
Kongresshaus Baden-Baden
Augustaplatz 10
76530 Baden-Baden
Phone: (+49) 7221 304 -0
Fax: (+49) 7221 304 -304