DATE is pleased to present a special hybrid format for its 2022 event, as the situation related to COVID-19 is improving but safety measures and restrictions will remain uncertain for the upcoming months across Europe and worldwide. In transition towards a future post-pandemic event again, DATE 2022 will host a two-day live event in presence in the city of Antwerp (just north of Brussels in Belgium), to bring the community together again, followed by other activities carried out entirely online in the subsequent days. This setup combines the in-presence experience with the opportunities of on-line activities, fostering the networking and social interactions around an interesting program of selected talks and panels on emerging topics to complement the traditional DATE high-quality scientific, technical and educational activities.

ASDW05-08 Self-Awareness for Autonomy

Session Start
Fri, 17:00
Session End
Fri, 17:55


  • 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