4 papers
From Failure to Alignment: A Requirements Engineering Framework for Machine Learning Systems
Amel Bennaceur, Gopi Krishnan Rajbahadur, Prince Mercy +2
Organisations designing, developing, and deploying machine learning systems (MLS) need to be able to check that these systems are trustworthy, and communicate this clearly to their…
FormIDEAble: Safe and Socially-aware Autonomous Systems
Livia Lestingi, Amel Bennaceur, Marcello M. Bersani +5
Autonomous agents operating in socio-critical settings must coordinate with humans under uncertainty while respecting explicit safety constraints. Existing approaches either accoun…
Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing
Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek +2
Extensive simulation-based testing is important for assuring the safety of autonomous driving systems (ADS). However, generating safety-critical traffic scenarios remains challengi…
Safe and Socially Aware Multi-Robot Coordination in Multi-Human Social Care Settings
Ayodeji O. Abioye, Jayati Deshmukh, Athina Georgara +6
This research investigates strategies for multi-robot coordination in multi-human environments. It proposes a multi-objective learning-based coordination approach to addressing the…