ACC 2023 Workshop on Safe and Robust Learning for Perception-based Planning and Control

Full-Day Workshop on Safe and Robust Learning for Perception-based Planning
and Control

What: IEEE American Control Conference (ACC) 2023
When: Tuesday May 30, 2023
Where: San Diego (CA), USA
Link: https://sites.google.com/umich.edu/safeperceptionbasedcontrol/home

The workshop is soliciting contributions of extended abstracts.

==== Submission Details ====
Paper format: ACC template
(http://css.paperplaza.net/conferences/support/support.php)
Length: max 2 pages excluding references and appendices
Submission deadline: May 5th 2023, anywhere on earth
Notification of acceptance: May 10th 2023
Submission through Microsoft CMT:
https://cmt3.research.microsoft.com/WSPPC2023

We welcome contributions of extended abstracts showing recent work in the area
of safe and robust perception, control, and their integration.
Submissions will go through a single-blind review process, and accepted
submissions will be presented in a poster session.
The accepted extended abstracts will be made available on the workshop’s
website
(https://sites.google.com/umich.edu/safeperceptionbasedcontrol/call-for-papers).
For a complete list of relevant topics, see the workshop website.

==== Invited Speakers ====
– Nikolay Atanasov, UC San Diego, USA
– Osbert Bastani, University of Pennsylvania, USA
– Preston Culbertson, California Institute of Technology, USA
– Sarah Dean, Cornell University, USA
– Chuchu Fan, Massachusetts Institute of Technology, USA
– Boris Ivanovic, NVIDIA Research, USA
– Balaji Lakshminarayanan, Google Brain, USA

Best Regards,
==== Organizers ====

Glen Chou (primary contact: gchou [at] mit [dot] edu), Massachusetts Institute
of Technology, USA
Sushant Veer, NVIDIA, USA
Heng Yang, NVIDIA/Harvard University, USA
Ryan Cosner, California Institute of Technology, USA
Marco Pavone, Stanford University/NVIDIA, USA

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