Call for Papers
April 8th: Submission deadline extended
April 19th: Notification of acceptance
April 22nd: Camera ready paper
May 25th: Workshop (full-day)
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.
Overview & Topics
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. These robots need to be persistent and demonstrate a high level of robustness as well as 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.
To test these competencies, we have to go far beyond running proof-of-concept experiments in controlled environments for a limited period of time. This fact makes the research and development of such robots difficult and tedious and also makes any experience with long-term deployment of autonomous systems a valuable knowledge. This workshop aims at capturing this knowledge by inviting 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 learned during long-term deployments of their robots.
Topics of interest include, but are not limited to:
• Spatial 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.
- Cyrill Stachniss, University of Bonn
- Carl Wellington, Uber Advanced Technologies Group
- Joydeep Biswas, UMass Amherst
- Jonathan Kelly, University of Toronto
- John Leonard, MIT
- Marc Hanheide, University of Lincoln, UK
- Paul Newman, University of Oxford
- Torsten Sattler, ETH
The tentative schedule can be found here: https://sites.google.com/view/icra2018ltaws/program
- Feras Dayoub, Australian Centre for Robotic Vision, QUT, AU
- Tomas Krajnik, Czech Technical University in Prague
- Lars Kunze, Oxford Robotics Institute, Oxford, UK
- Niko Suenderhauf, Australian Centre for Robotic Vision, QUT, AU
- Manuela Veloso, Carnegie Mellon University, USA
For more information and for submissions please contact feras.dayoub-at-qut.edu.au
This full-day workshop is supported by the IEEE Technical Committee on Autonomous Ground Vehicles and Intelligent Transportation Systems, (http://www.ieee-ras.org/autonomous-ground-vehicles-and-intelligent-transportation-systems)