Tuesday, August 10, 2021 – 8.00 – 9.50 (EDT): https://2021.ieee-icas.org/challenge/

David Martín Gómez – Universidad Carlos III de Madrid‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Spain
Pablo Marín Plaza – Universidad Carlos III de Madrid, Spain
Abdulla Al-Kaff – Universidad Carlos III de Madrid, Spain
Hafsa Iqbal – University of Genoa, Italy and Universidad Carlos III de Madrid‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Spain
Lucio Marcenaro – University of Genoa, Italy

Challenge website: https://piazza.com/ieee_sps/spring2021/icas2021/info

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 concepts of awareness and self-awareness, usually associated with biological beings, especially humans, have been studied in the past decades by scientists of different backgrounds. Recent research has started to develop ways to extend these concepts to artificial systems too. In particular, the focus of this challenge is the unsupervised anomaly detection in intelligent and heterogeneous systems. Anomaly detection constitutes a fundamental step in the development of self-aware autonomous agents capable of continuously learning from new situations, as it enables to distinguish novel experiences from already encountered ones.

Final Ranking List:

Winner: Team DigitX
University of Moratuwa (Sri Lanka)
Supervisor: Dr. Chamira Edussooriya
Hasindri Watawana
Vidushika Rasanji
Chamuditha Jayanga
Nirhoshan Sivaroopan
Avishka Sandeepa
Nushan Vitharana
Yasod Ginige
Rahal Perera
Oshan Jayawardena
Dilmi Caldera

2nd place: DECIPHI-IITK
Indian Institute of Technology, Kanpur (India)
Supervisor: Vipul Arora
Nitish Vikas Deshpande
Afzal Rao
Adhiraj Banerjee

3rd place: Team CS
CentraleSupelec (France)
Supervisor: Maria Vakalopoulou
Yoni Gozlan
Tony Wu
Timothé Chaumont

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