[robotics-worldwide] [meetings] RSS Workshop on Resilient Intelligence in Autonomous Systems

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[robotics-worldwide] [meetings] RSS Workshop on Resilient Intelligence in Autonomous Systems

Wennie Tabib
Call for Contributions:
RSS Workshop on Resilient Intelligence in Autonomous Systems
Cambridge, Massachusetts, USA, 16 July 2017

Important Dates:
- Submission deadline: June 10, 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:


Further details can be found at: https://urldefense.proofpoint.com/v2/url?u=http-3A__rssworkshop.autonom&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=bceokpWTfs1wze1hROg2i8vahWbeDdKtdfyURg1rzYo&s=ZEzTM3M9LJI245Tq36WPApM4mHlJFzOFIAEgY187bt8&e= 

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
Nathan Michael, Carnegie Mellon University
Marco Pavone, Stanford University
Ingmar Posner, University of Oxford
Fabio Ramos, University of Sydney
Siddhartha Srinivasa, Carnegie Mellon University

Wennie Tabib, Carnegie Mellon University
Nathan Michael, Carnegie Mellon University
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