A new Challenge on self-awareness in heterogeneous multi-robot systems has been organized within the first International Conference on Autonomous Systems (ICAS 2021). The research field of this competition is the unsupervised anomaly detection through self-aware autonomous systems, which is an active topic involving IEEE Signal Processing Society, also through the Autonomous Systems Initiative, and Intelligent Transportation Systems Society.

The competition will allow all participating teams to create intelligent and autonomous unsupervised algorithms that will be capable of determining the normal or non-normal behavior of a ground vehicle that interplays with the environment. So, the challenge is focused to discover anomalies automatically in a common dataset that will be delivered to all teams who participate in the challenge. 

Read more on the SPS site.

ICAS 2021 Challenge: Self-awareness in Heterogeneous Multi-Robot Systems