Scope

Advances in AI technology, particularly perception and planning, have enabled unprecedented advances in autonomy, with autonomous systems playing an increasingly important role in day-to-day lives, with applications including IoT, drones, and autonomous vehicles. In nearly all applications, reliability, safety, and security of such systems is a critical consideration. For example, failures in IoT can result in infrastructure disruptions, and failures in autonomous cars can lead to congestion and crashes. While there have been extensive independent research threads on the subject of safety and reliability of specific sub-problems in autonomy, such as the problem of robust control, as well as recent considerations of robust AI-based perception, there has been considerably less research on investigating robustness and trust in end-to-end autonomy, where AI-based perception is integrated with planning and control in an open loop. This workshop on Trustworthy Autonomous Systems Engineering (TRASE) offers an opportunity to highlight state of the art research in trustworthy autonomous systems, as well as provide a vision for future foundational and applied advances in this critical area at the intersection of AI and Cyber-Physical Systems.

The mission of the TRASE workshop is to bring together researchers from multiple engineering disciplines, including Computer Science, and Computer, Mechanical, Electrical, and Systems Engineering, who focus their energies in understanding both specific TRASE subproblems, such as perception, planning, and control, as well as robust and reliable end-to-end integration of autonomy.

Topics of Interest

We are interested in a broad range of research topics, both foundational and applied. Topics of interest include, but are not limited to:

1. Security and reliability of AI
2. Robust visual perception
3. Robust control
4. Reliability in real-time systems
5. Robust dynamical systems
6. Robust planning
7. Ethics and fairness in autonomous systems
8.Robust multiagent systems
9. Robust robotic design, particularly of autonomous drones and/or vehicles

Submission Details

EasyChair Link for Paper Submissions: Link

We solicit papers in two categories:

1. Research papers (8 pages in length for main content + 2 pages for references in AAAI format): we are soliciting research papers, both relatively mature, as well as early stage, on both the foundational and applied topics related to autonomous systems engineering.

2. Position papers (4 pages in length for main content + 2 pages for references in AAAI format): we are seeking position papers that advocate for a particular approach or set of approaches, or present an overview of a promising relevant research area.

Important Dates