Smart & Autonomous Systems (S&AS) Program Webinar
Wednesday June 13th - Noon
June 13, 2018 12:00 PM
June 13, 2018 1:00 PM
The Smart and Autonomous Systems (S&AS) program focuses on Intelligent Physical Systems (IPS) that are capable of robust, long-term autonomy requiring minimal or no human operator intervention in the face of uncertain, unanticipated, and dynamically changing situations. IPS are systems that combine perception, cognition, communication, and actuation to operate in the physical world. Examples include, but are not limited to, robotic platforms, self-driving vehicles, underwater exploration vehicles, and smart grids.
Most current IPS operate in pre-programmed ways and in a limited variety of contexts. They are largely incapable of handling novel situations, or of even understanding when they are outside their areas of expertise. To achieve robust, long-term autonomy, however, future IPS need to be aware of their capabilities and limitations and to adapt their behaviors to compensate for limitations and/or changing conditions.
This webinar will cover the S&AS program solicitation, NSF 18-557, submission requirements, and program updates. There will be a question and answer session following the presentation.
To participate in the webinar, please register at: https://nsf.webex.com/nsf/j.php?RGID=r0e27837f8de9dbe64e1f256aae2b08bc
by 11:59pm EDT on Tuesday June 12, 2018.
After your registration is accepted, you will receive an email with a URL to join the meeting. Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, your acceptance message will have a toll-free phone number that you will be prompted to call after joining. Please note that this registration is a manual process; therefore, do not expect an immediate acceptance. In the event the number of requests exceeds the capacity, some requests may have to be denied.
The webinar presentation, audio file and transcript will be available below under "Public Attachments" after the webinar has concluded.
This event is part of Webinars/Webcasts.
James J. Donlon, (703) 292-8074, email: firstname.lastname@example.org
NSF Related Organizations
Directorate for Computer and Information Science and Engineering