Autonomous mobile robots need to operate in a diverse range of environments that present large challenges for the current state of the art in perception. For example, autonomous road vehicles need to operate in darkness and fog and search-and-rescue robots need to operate in the presence of thick smoke. These conditions, referred to as Visually Degraded Environments (VDEs), degrade the performance of cameras and LiDAR and this degradation can easily lead to higher-level failures. Further, in many cases robots require perception in VDEs far exceeding that of humans. Autonomous road vehicles, for example, must operate in VDEs, but a perception failure could endanger human lives. If techniques for robust perception in VDEs are not developed, the usefulness of autonomous mobile robots will be severely limited.
This workshop aims to highlight new developments in the field of robust perception and state estimation. We will bring together experts in the field to share their work on novel sensors, new algorithms, and full perception systems. Our goal is to bring more attention to this important area, and encourage sharing and collaboration between robust, resilient perception and a diverse range of related research areas including computer vision, robust AI, and field robotics.
Participants are invited to submit short papers (up to 4 pages in ICRA format) focusing on advances in robust perception using novel sensors, new algorithms, and full perception systems.
Topics of interest include but are not limited to: The use of novel or unusual sensor types for perception problems such as radar and thermal imaging New methods for using traditional sensors (vision, lidar, etc) in challenging environments Novel algorithms for robust perception and state estimation in challenging environments Full perception stacks designed for challenging environments Contributed papers will be reviewed by the organizers and a program committee of invited reviewers. Accepted papers will be published on the workshop website and will be featured in spotlight presentations and poster sessions.
- Submission Deadline: April 25, 2021
- Notification of Acceptance: May 9, 2021
- Workshop Date: (TBD)
- Sebastian Scherer (Carnegie Mellon University)
- Jeanette Bohg (Stanford University)
- Davide Scaramuzza (University of Zurich)
- Tim Barfoot (University of Toronto)
- Claire Tomlin (University of California, Berkeley)
- Larry Matthies (NASA Jet Propulsion Laboratory)
- Sanjiv Singh (Carnegie Mellon University)
- CJ Taylor (University of Pennsylvania)
- Paul Newman (Oxford University)
Please send any questions to Andrew Kramer at email@example.com. Please include “Robust Perception ICRA 2021 Workshop” in the subject of the email.