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Third Workshop on Formal Methods for Autonomous Systems (FMAS 2021)

This two-day workshop will bring together researchers working on a range of 
techniques for formal verification of autonomous systems, to present recent 
work in the area, discuss key difficulties, and stimulate collaboration between 
the robotics and formal methods communities.
FMAS2021 will be held **online**, due to the ongoing disruption caused by 
COVID-19, on the **21st and 22nd of October 2021**.
You can register to attend FMAS2021, for free, using our eventbrite page: 
https://urldefense.com/v3/__https://www.eventbrite.co.uk/e/third-workshop-on-formal-methods-for-autonomous-systems-fmas-2021-tickets-177959861737__;!!IBzWLUs!Ea3GdeesaqM0auCD_rYtJouSyPf-iEh8-5bpmPbS4-7nqePiHdlxymkW43dQzAp4htKxY0HuR3j59g$
  
(https://urldefense.com/v3/__https://link.getmailspring.com/link/[email protected]/0?redirect=https*3A*2F*2Fwww.eventbrite.co.uk*2Fe*2Fthird-workshop-on-formal-methods-for-autonomous-systems-fmas-2021-tickets-177959861737&recipient=dHlwZXMtYW5ub3VuY2VAbGlzdHMuc2Vhcy51cGVubi5lZHU*3D__;JSUlJSUl!!IBzWLUs!Ea3GdeesaqM0auCD_rYtJouSyPf-iEh8-5bpmPbS4-7nqePiHdlxymkW43dQzAp4htKxY0F0Co4wnw$
 )
More details, including the full list of accepted papers, can be found on our 
website: 
https://urldefense.com/v3/__https://fmasworkshop.github.io/FMAS2021__;!!IBzWLUs!Ea3GdeesaqM0auCD_rYtJouSyPf-iEh8-5bpmPbS4-7nqePiHdlxymkW43dQzAp4htKxY0FvIPLh4A$
  
(https://urldefense.com/v3/__https://link.getmailspring.com/link/[email protected]/1?redirect=https*3A*2F*2Ffmasworkshop.github.io*2FFMAS2021&recipient=dHlwZXMtYW5ub3VuY2VAbGlzdHMuc2Vhcy51cGVubi5lZHU*3D__;JSUlJSU!!IBzWLUs!Ea3GdeesaqM0auCD_rYtJouSyPf-iEh8-5bpmPbS4-7nqePiHdlxymkW43dQzAp4htKxY0EcblqRqA$
 )
Scope
Autonomous -- and Robotic -- Systems present unique challenges for formal 
methods. They are embodied entities that can interact with the real world and 
make autonomous decisions. Amongst others, they can be viewed as 
safety-critical, cyber-physical, hybrid, and real-time systems. Key issues for 
formal methods applied to autonomous systems include capturing how the system 
will deal with a dynamic external environment and verification of the system's 
decision making capabilities -- including planning, safety, ethical, and 
reconfiguration choices. Some autonomous systems require certification before 
deployment, others require public trust for wide adoption; both of these 
scenarios are being tackled by formal methods.
The goals of this workshop are to bring together leading researchers in this 
area to present recent and ongoing work, including experience reports and case 
studies as well as identify future directions for this emerging application of 
formal methods. This workshop is concerned with the use of formal methods to 
specify, model, or verify autonomous or robotic systems, in whole or in part. 
Submissions may focus on case studies that identify the challenges for formal 
methods in this area, or experience reports that provide guidelines for 
tackling these challenges.
We are especially interested in work using integrated formal methods, 
discussing the future directions of the field, using Runtime Verification or 
other approaches to deal with the _reality gap_, the cross over of safety and 
security, and verification of systems against safety assurance arguments or 
standards documents.
Registration
This year, FMAS will be held **online** via a video conference system. We will 
circulate details closer to the event, when the number of attendees is clearer.
You can register to attend FMAS2021, for free, using our eventbrite 
(https://urldefense.com/v3/__https://link.getmailspring.com/link/[email protected]/2?redirect=https*3A*2F*2Fwww.eventbrite.co.uk*2Fe*2Fthird-workshop-on-formal-methods-for-autonomous-systems-fmas-2021-tickets-177959861737&recipient=dHlwZXMtYW5ub3VuY2VAbGlzdHMuc2Vhcy51cGVubi5lZHU*3D__;JSUlJSUl!!IBzWLUs!Ea3GdeesaqM0auCD_rYtJouSyPf-iEh8-5bpmPbS4-7nqePiHdlxymkW43dQzAp4htKxY0GXTvt-NA$
 ) page.
Invited Talks
We have two invited talks for FMAS 2021:
"Help or Hazard: Towards Verifying Autonomous Robot Systems" by Clare Dixon, 
Professor of Computer Science at the University of Manchester (UK)

"Understanding and Verifying Deep Neural Networks" by Divya Gopinath, 
Researcher in Formal Verification in the Robust Software Engineering (RSE) 
group at the NASA Ames Research Center

Chairs
Matt Luckcuck <[email protected]>, Maynooth University, Ireland
Marie Farrell <[email protected]>, Maynooth University, Ireland

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