Our robots are envisioned to perform complex tasks in real, noisy, imperfect, partially observable, hardly perceivable and unexpectedly behaving environments. Due to the probabilistic nature of the physical world, it is crucial to endow robotic systems with the ability to handle uncertainties during the operation. Probabilistic robotics, a vibrant field that has gained enormous popularity since its inception in the mid-1990s, provides a compelling paradigm to address this dilemma.
The evolution of the idea of exploiting probabilistic techniques in robotics is paralleled in other relevant domains such as classical artificial intelligence (AI), which, in the era of deep learning (DL), still plays an important role on robot systems. In contrast, empowered by the learning-based data-driven characteristic, DL as a representative approach of modern AI, is able to remarkably enhance the functionality of our robots with its impressive performance on different robotic relevant tasks. However, each coin has two sides. The uninterpretable nature of DL and its data-hungry learning fashion has unfortunately posed limitations in the applications of various probabilistic approaches. Though there has been a plethora of research advances in pursuing a consistent and effective extension of this concept in recent years, the challenges arising when deploying our robots in varying scenarios still remain unsolved. In consideration of this, it is enlightening to take a look at the probabilistic techniques at the age of pre-DL and peri-DL from a probabilistic robotics point of view.
In light of the above, this workshop aims at providing a forum to bring together robotic and machine learning researchers as well as industrial experts with experience on developing probabilistic methods. The discussions will be centered on past achievements, current requirements, urgent challenges and future research directions and promising applications.
Wolfram Burgard from University of Technology Nuremberg (Germany)
Fabio Ramos from NVIDIA and University of Sydney (USA and Australia)
Teresa Vidal Calleja from University of Technology Sydney (Australia)
Patrick Van Der Smagt from Volkswagen (Germany)
Ingmar Posner from University of Oxford (United Kingdom)
Ali Agha from JPL NASA (USA)
Niko Sünderhauf from Queensland University of Technology (Australia)
Yarin Gal from University of Oxford (United Kingdom)
Balaji Lakshminarayanan from Google Brain (USA)
Rika Antonova from Stanford University (USA)
We cordially invite researchers to submit short papers. We accept original papers, as well as in-review or accepted manuscripts. Submitted contributions can describe work in progress, preliminary results, novel concepts, or industrial applications.
All manuscripts are limited to 4+n pages (i.e., additional pages over 4 are ONLY allowed for references), should use the IEEE standard two-column conference format (paper template available on the IEEE IROS 2022 website).
All original submissions will be peer-reviewed in single-blind manner. Submissions will be selected by workshop organizers based on the reviews, their originality, relevance to the workshop topics, contributions, technical clarity, and presentation. All accepted manuscripts will be presented as posters during the workshop. Two top contributions will be selected for 10-minute oral presentations at spotlight sessions. Accepted papers will be posted on the workshop website. For other questions please don’t hesitate to contact us.
To submit your contributions please got to the OpenReview submission site.
|8:30 - 9:00||Talk||Wolfram Burgard|
|9:00 - 9:30||Talk||Rika Antonova|
|9:30 - 10:00||Talk||Niko Sünderhauf|
|10:00 - 10:45||Paper Presentations||Tbd.|
|10:45 – 11:15||Coffee Break|
|11:15 - 11:45||Talk||Fabio Ramos|
|11:45 - 12:15||Talk||Teresa Vidal|
|12:15 - 12:45||Panel Discussion|
|12:45 - 14:00||Lunch|
|14:00 – 14:30||Talk||Yarin Gal|
|14:30 – 15:00||Talk||Ali Agha|
|15:00 - 15:30||Talk||Balaji Lakshminarayanan|
|15:30 - 16:15||Paper Presentations||Tbd.|
|16:15 - 17:00||Talk||Patrick Van Der Smagt|
|17:00 - 17:30||Talk||Posner Ingmar|
|17:30 - 18:00||Panel Discussion|
Submission Deadline: (extended!) Sunday, Sept 30, 2022, 6:00 PM EDT
Reviews due: Tuesday, Oct 04, 2022, 7:00 PM EDT
Acceptance Notification: Monday, Oct 10, 2022
Camera-ready submission: Sunday, Oct 16, 2022, 7:00 PM EDT
Workshop: Thursday, Oct 27, 2022
This workshop is supported by the IEEE RAS Technical Committees on Computer and Robot Vision, and Algorithms for Planning and Control of Robot Motion. The organizers acknowledge the sponsorship from Agile Robots AG.
Should you have any questions, please do not hesitate to contact the organizing committee.