Special Issue: Self-Awareness for Autonomous Systems
Volume 108, Issue 7
Guest Editors: Nikil Dutt, Carlo S. Regazzoni, Bernhard Rinner, and Xin Yao
Special Issue Papers
This article outlines the neurobiological principles for living organisms that inspire self-awareness in engineered systems, using adaptive, self-monitoring robots as an exemplar for an engineered self-aware system.
This article provides a Bayesian multisensor signal processing framework allowing an autonomous system to perform self-supervised estimation of self-awareness models by using proprioceptive and exteroceptive dynamic descriptions of its own experiences.
This article provides an overview not only of how one can construct self-aware autonomous systems, but also of how one can potentially have verifiable, self-aware behavior.
This article addresses self-awareness in the context of computing platforms embodied in a physical environment, using illustrative case studies in health-monitoring, systems-on-chip, control systems, and industrial production systems.
This article reviews advances in self-aware neural networks and presents a case study of a neural network system that deploys self-awareness to adapt to varying demands in performance and energy.
This article overviews methods for time series forecasting as an important pillar for decision making in self-aware systems. It further discusses feature engineering techniques and assesses a data-center resource management case study
This article presents a foundation, a principled methodology, and case studies for synergizing human expertise with architectural design patterns for engineering self-aware and self-adaptive software systems.
This article provides an overview of acoustic self-awareness signal processing techniques. The role of ego-noise representation and processing in autonomous systems is highlighted, and application case studies are presented.
In this article, self-awareness in networking is discussed. Examples of advantages of self-aware networks with respect to quality of service, energy, and security are presented.
This article provides an industrial perspective on self-aware autonomous navigation systems, with a focus on critical features required to achieve resilience and behavioral assurance for mission-critical applications spanning air, ground, marine, underwater, and space systems.