General Information
The field of off-road autonomy has been of great interest due to applications in various industries, such as agriculture, search and rescue, an d military operations. The dynamic and unpredictable nature of off-road environments poses unique challenges and opens avenues for all aspects of robotic research. The goal of this workshop is to engage experts and researchers in off-road autonomy, in a broad coverage of public datasets, benchmarks, software stacks, infrastructures, state estimation, semantic segmentation, traversability estimation, terrain analysis, planning, dynamics model, domain adaptation, and more.
This will be a full-day workshop. It will feature a mix of presentations, open panel discussions, and an invited poster session. There will be eight invited speakers and a keynote speaker to discuss their related research, thoughts, and experiences in various directions within off-road autonomy. The workshop aims to foster discussion, share insights, and encourage collaborations among experts from academia, industry, and research institutions, as well as to identify the key challenges and opportunities in the advancement of off-road autonomy technologies.
Sessions Overview
Presenter | Session Title | Time | YouTube Link | |
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Welcome message by organizers & overview of workshop |
8:45 - 9:00 AM |
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Associate Research Professor, Robotics Institute Carnegie Mellon University |
Self-supervised Costmap Learning for Off-road Vehicle Traversability |
9:00-9:20 AM |
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Assistant Professor George Mason University |
Learning Extreme Off-Road Mobility |
9:20 - 9:40 AM |
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David & Andrew Lewis Chair of Aerospace Engineering Georgia Institute of Technology |
Resilient, Risk-Aware On-Line Planning and Control for Off-Road Aggressive Mobility |
9:20 - 9:40 AM |
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Poster Lightning Session |
All poster presenters give a 1 min talk to present their work |
10:00 - 10:20 AM |
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Poster session |
Attendees can walk around to view presenters’ posters |
10:20 - 11:00 AM |
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Professor of Machine Learning University of Washington |
Visual Modeling of Complex Terrain for High-speed, Off-road Navigation |
11:00 - 11:20 AM |
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Professor of Robotics ETH Zurich |
Rough terrain locomotion |
11:20 - 11:40 AM |
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Systems Scientist CMU |
From Lidar SLAM to Full-scale Autonomy and Beyond |
11:40 - 12:00 AM |
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Principal Investigator and Research Technologist JPL and CAST of Caltech |
Resilient Robotic Autonomy Under Uncertainty |
1:00 - 1:20 PM |
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Senior Computer Scientist U.S. Army Research Laboratory |
Human-Centered Machine Learning for Autonomous Navigation |
1:20 - 1:40 PM |
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Poster Lightning Session |
All poster presenters give a 1 min talk to present their work |
1:40 - 2:15 PM |
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Poster session |
Attendees can walk around to view presenters’ posters |
2:15 - 2:45 PM |
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Research PI USDA |
Calibration of Multiple-Camera Imaging Systems |
2:45 - 3:05 PM |
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Assistant Professor Inha University |
Learning Off-Road Terrain Traversability |
3:05 - 3:25 PM |
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Principal Research Scientist CSIRO |
Title TBD |
3:30 - 3:50 PM |
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Panel |
Panel Discussion |
4:00 - 4:45 PM |
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Closing remarks |
Workshop ends |
4:45 - 5:00 PM |
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Call for Papers
Important dates (all times AoE)
- Submissions open: Feb 1st 2024
- Submission deadline: Apr 8th 2024
- Decision notification: Apr 21th 2024
- Camera-ready deadline: May 7th 2024
- Workshop: May 17th 2024
Submission
Submission link: OpenReview.
In this workshop, we aim to bring together machine learning and robotics researchers who work at the intersection of these fields. Topics of interest include but are not limited to the following (all under the context of their roles in off-road autonomy):
- Multi-modal perception
- Self-supervised learning
- Sim-to-real transfer
- Online adaptation
- Traversability estimation
- Foundation models for navigation
- Heterogeneous collaborative robots
- Off-road driving dataset
- Safe robot operation in uncertain and dynamic environments
- Planning without prior knowledge of an environment
- Approaches to off-road driving that work on multiple types of robots
- Long-term localization and mapping in complex environments
- Representations of terrain that model physical properties and robot-environment interaction
Accepted Talks and Posters
Accepted papers will be presented in the form of posters (with lightning talks) or spotlight talks at the workshop. We encourage submissions of work in progress, as well as work that is not yet published.
Submission instructions
Submissions should be short papers up to 4 pages in PDF format (not counting references and an optional appendix, which can go over the limit) This workshop will not provide formal official proceedings and the papers will be available on the workshop website.
Organizers & Committee
Systems Scientist, Robotics Institute Carnegie Mellon University |
Supervisory Engineer US Army Research Laboratory |
Executive Vice President Hanwha Aerospace |
PhD Candidate, Robotics Institute Carnegie Mellon University |
Research Scientist US Army Research Laboratory |
Research Scientist US Army Research Laboratory |
Research Associate Professor, Robotics Institute Carnegie Mellon University |
MSR Student, Robotics Institute Carnegie Mellon University |
PhD Student, Robotics Institute Carnegie Mellon University |
Associate Professor, Machine Learning Department Carnegie Mellon University |
Robotics Researcher US Army Research Laboratory |
Chief, Intelligence for Robotics Branch US Army Research Laboratory |
Udam Silva Systems Engineer US Army Research Laboratory |
PhD Student University of Washington |