DATE Save the Date 17 to 19 April 2023

Dear DATE community,

We, the DATE Sponsors Committee (DSC) and the DATE Executive Committee (DEC), are deeply shocked and saddened by the tragedy currently unfolding in Ukraine, and we would like to express our full solidarity with all the people and families affected by the war.

Our thoughts also go out to everyone in Ukraine and Russia, whether they are directly or indirectly affected by the events, and we extend our deep sympathy.

We condemn Russia’s military action in Ukraine, which violates international law. And we call on the different governments to take immediate action to protect everyone in that country, particularly including its civilian population and people affiliated with its universities.

Now more than ever, our DATE community must promote our societal values (justice, freedom, respect, community, and responsibility) and confront this situation collectively and peacefully to end this nonsense war.

DATE Sponsors and Executive Committees.

Kindly note that all times on the virtual conference platform are displayed in the user's time zone.

The time zone for all times mentioned at the DATE website is CET – Central Europe Time (UTC+1).

ASDW05-08 Self-Awareness for Autonomy

Session Start
Session End

 

  • Organizer / Chair: Nikil Dutt (UC Irvine, USA) 
  • Session Abstract: 

    Self-awareness principles promise to endow autonomous systems with high degrees of adaptivity and resilience, borrowing from an abundance of examples in biology and nature. However, the engineering of dependable and predictable autonomous systems pose significant challenges for explainability, testing, and bounding safe behaviors. This session begins with short presentations by academic and industry speakers on these topics, and is followed by an interactive discussion with the audience. The first presentation by Prof. Andreas Herkersdorf (TU Munich) discusses how transparent machine learning techniques can be coupled with self-awareness  to improve dependability in autonomous systems. The second presentation by Dr. Ahmed Nassar (Nvidia) addresses issues in training and testing of self-aware autonomous agents. The third presentation by Dr. Prakash Sarathy (Northrup Grumman) describes how to bound the emergent behavior of autonomous systems using a self-aware dataflow computing paradigm. The session is then followed by an open discussion between the audience and the speakers on research challenges and future directions at the intersection of self-awareness and autonomy. 

  • Speakers:

    • A. Herkersdorf, TU Munich, Germany.   

      Transparent ML as a means of enhancing dependable autonomy 

    • A. Nassar, Nvidia, USA. 

      Continuous Training and Testing of Autonomous Agents: The Road to Self-Awareness 

    • P. Sarathy, Northrop Grumman, USA. 

      Self-aware dataflow computing for Bounded Behavior Assurance