RSS17WRIAS: Resilient Intelligence in Autonomous Systems: Challenges and Opportunities Robotics: Science and Systems 2017 Cambridge, MA, United States, July 16, 2017 |
Conference website | http://rssworkshop.autonomousaerialrobot.com |
Submission deadline | June 17, 2017 |
Acceptance notification | June 26, 2017 |
Camera-ready submission | July 10, 2017 |
Call for Contributions:
-------------------------
RSS Workshop on Resilient Intelligence in Autonomous Systems
Cambridge, Massachusetts, USA, 16 July 2017
Important Dates:
-------------------------
- Submission deadline: June 17, 2017 (AoE)
- Acceptance notification: June 26, 2017
- Camera-ready submission: July 10, 2017
- Workshop: July 16, 2017
Resilient intelligent systems introspect, adapt, and evolve to changing robot and environment models and application objectives. A fundamental challenge to achieving resilient operation is the development of robust techniques that enable online learning and adaptation while preserving the performance guarantees required to ensure safe and stable autonomy.
The goal of this workshop is to discuss the fundamental challenges to achieving resilience in intelligent robots given online learning and adaptation within the feedback loop. The workshop brings together expertise in the areas of learning, planning, perception, and control to discuss the implications of recent advancements in online learning and experiential techniques to broader robotics areas that leverage learned models but require additional performance guarantees to ensure safe operation. Researchers from academia and industry working in topical areas such as active perception, human-robot interaction, manipulation, and multi-robot coordination will discuss the fundamental challenges that arise in pursuit of resilient intelligence and robust autonomy.
The workshop will consist of topical presentations and a panel discussion by a cross-disciplinary group of experts with the goal of highlighting the common challenges that arise due to online learning and adaptation (at the levels of planning, perception, and control) within the autonomy feedback loop and the performance implications. Peer-reviewed extended abstracts will be featured via a poster session that highlights recent advances in the development of resilient intelligent systems.
Submission Guidelines:
-------------------------
Extended abstracts are solicited from workshop participants for review and presentation as posters at the workshop as well as compiled into a workshop proceedings. Extended abstract content is expected to align with the workshop theme (minimum two pages, maximum four pages, excluding references) and should adhere to the RSS paper format (using templates available in LaTeX or Word, submitted as a PDF).
Extended abstracts can be submitted by logging into the conference management website located at:
https://easychair.org/conferences/?conf=rss17wrias
Further details can be found at: http://rssworkshop.autonomousaerialrobot.com/
Confirmed Speakers:
-------------------------
Brenna Argall, Northwestern University
Byron Boots, Georgia Institute of Technology
Luca Carlone, Massachusetts Institute of Technology
Oliver Kroemer, University of Southern California
Sergey Levine, University of California, Berkeley
Maxim Likhachev, Carnegie Mellon University
Anirudha Majumdar, Stanford University
Larry Matthies, NASA Jet Propulsion Laboratory
Nathan Michael, Carnegie Mellon University
Marco Pavone, Stanford University
Ingmar Posner, University of Oxford
Fabio Ramos, University of Sydney
Siddhartha Srinivasa, Carnegie Mellon University
Organizers:
-------------------------
Wennie Tabib, Carnegie Mellon University
Nathan Michael, Carnegie Mellon University