ICRA 2018 Workshop
Long-term autonomy and deployment of intelligent robots in the real-world
From driverless cars to autonomous harvesters to service robots, mobile robots are leaving the factories and entering less structured, more complex and dynamic environments. The key competence of these robots is the ability of reliable operation for long periods of time under changing and unpredictable environmental conditions. In other words, these robots need to be persistent and demonstrate a high level of robustness and fault tolerance and recovery, and above all of that, they have to be able to adapt over time to the changes in their operational environment. However, development and testing of these competences is difficult and tedious, because it goes far beyond running proof-of-concept experiments in controlled environments for a limited period of time. This makes any experience with long-term deployment of autonomous systems a valuable knowledge. In this workshop, we invite a number of renowned experts in the field who will highlight the main challenges these robots face and talk about their own experiences and the lessons they learnt during long-term deployments of their robots. We also call for papers that address the long-term autonomy problem and in particular the topics below:
- Spatial and temporal representations for long-term mapping and localization,
- Reasoning about environmental appearance and structural change,
- Long-term mission planning and exploration,Lifelong learning and adaptation,
- Context-dependent decision making,
- Verification of long-term autonomous systems,
- Robust recovery behaviors.
Authors are required to submit a 2 pages extended abstract or 4 pages short paper or 6 pages full paper as PDF in the standard ICRA conference format.
Submissions will be judged based on relevance to the workshop topics, technical quality, and novelty. Authors of accepted papers are expected to give a lightning talk (2-3 minutes) and to present a poster at the workshop. A number of full papers will be selected for longer 10-15 oral presentation. The authors of the best full paper will be awarded 0.01 BTC.
- Feras Dayoub, Australian Centre for Robotic Vision, Queensland University of Technology, AU
- Lars Kunze, Oxford Robotics Institute, Oxford, UK
- Tomas Krajnik, Czech Technical University in Prague
- Niko Suenderhauf, Australian Centre for Robotic Vision, Queensland University of Technology, AU
- Manuela Veloso, Carnegie Mellon University, USA