In total, 18 short papers and extended abstracts will be presented by 20-minute talks, lightning talks and posters during two poster sessions.
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Overview & Topics
Autonomous systems have a long history in the fields of Artificial Intelligence (AI) and Robotics. However, only through recent advances in technology has it been possible to createautonomous systems capable of operating in long-term, real-world scenarios. Examples include autonomous robots that operate outdoors on land, air, water, and space, and indoors in offices, care homes, and factories. Designing, developing, and maintaining autonomous systems that operate over long periods of time, i.e. weeks, months, or years, poses many challenges. In this workshop we will focus on such challenges for autonomous intelligent systems in long-term scenarios.
Related to this workshop are previous events that have been held at major robotics conferences (e.g. ICRA, Long-term Autonomy 2011-2014) and events on AI and Robotics (
http://ai-robotics.wikispaces.com/events)
The aim of the AI for Long-term Autonomy (AI-LTA) workshop is to bring researchers from the AI and Robotics communities together to exchange ideas and discuss problems in the context of long-term autonomous systems.
Topics of interest include, but are not limited to:
- Suitable representations for long-term, large-scale data
- Reasoning about environmental change
- Long-term mission planning and exploration
- State estimation in dynamic environments
- Lifelong learning and adaptation
- Context-dependent decision making
- Verification of long-term autonomous systems
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Organizers
- Dr. Lars Kunze, University of Birmingham, UK
- Dr. Nick Hawes, University of Birmingham, UK
- Prof. Tom Duckett, University of Lincoln, UK
- Prof. Gabe Sibley, University of Colorado, US
For more information please contact
ailta.i...@gmail.comThis full-day workshop is supported by the IEEE Technical Committee on Cognitive
Robotics (
http://www.ieee-coro.org/) and the European Union Seventh Framework Pro-
gramme (FP7/2007-2013) under grant agreement No 600623, STRANDS (
http://strands-project.eu/).