Special Section: Volume 38, Number 1, February 2022, Pages 2 – 301
Guest Editors
Amanda Prorok, University of Cambridge
Vijay Kumar, University of Pennsylvania
Brian Sadler, Army Research Laboratory
Gaurav Sukhatme, University of Southern California
Overseeing Editor
Paolo Robuffo Giordano, CNRS-IRISA
Aims and Scope
This Special Section of the IEEE TRANSACTIONS IN ROBOTICS is devoted to the topic of resilience in networked robotic systems. This collection of articles aims to provide a deeper understanding of resilience as it pertains to multirobot systems, and to disseminate the current advances in designing and operating networked robotic systems. We understand resilience to be a characteristic that enables a multirobot system to withstand or overcome unexpected adverse conditions or shocks, and unknown, unmodeled disturbances. It refers to the contingent nature of the robots’ behaviors that is aimed at preserving their functionality or minimizing the time periods during which their functionality is compromised.
The 17 articles in this section explore new algorithmic and mathematical foundations toward resilience. Jointly, they cover problems within perception, planning, and control. Individually, they focus on tackling specific types of stressors, including adversarial attacks, unmodeled noise, communication disruptions, and failure of resources and robot capabilities. As a guide to this Special section, we have organized the papers into four groups:
1) articles that propose methods to deal with adversarial attacks;
2) articles that focus on methods that exploit structural changes and other multirobot coordination mechanisms;
3) articles that focus on issues due to communication network disruptions; and
4) articles that address policy synthesis and dynamic controller tuning.
Introduction to the Special Section on Resilience in Networked Robotic Systems
A. Prorok, V. Kumar, B. Sadler, and G. Sukhatme
