9 papers
Federated Cybersecurity Testbed as a Service (FCTaaS): A framework to federate cybersecurity testbeds
Josh Dean, Yu-Zheng Lin, John Paul Martin Encinas +9
Rapid technological change is reshaping society through emerging domains such as autonomous vehicles and smart manufacturing, creating new research challenges in system design, ope…
Mission-Level Runtime Assurance Framework for Autonomous Driving
Chieh Tsai, Salim Hariri
This paper studies runtime safety for autonomous driving when high-level driving commands become faulty or unreliable. Unlike conventional runtime-safety approaches that mainly foc…
Online Reinforcement Learning for Safe Gain Scheduling in Nonlinear Quadrotor Control
Muhammad Junayed Hasan Zahed, Chieh Tsai, Salim Hariri +1
This paper presents an online reinforcement-learning framework for safe gain scheduling of a nonlinear quadcopter controller. Rather than learning thrust and torque commands direct…
RACF: A Resilient Autonomous Car Framework with Object Distance Correction
Chieh Tsai, Hossein Rastgoftar, Salim Hariri
Autonomous vehicles are increasingly deployed in safety-critical applications, where sensing failures or cyberphysical attacks can lead to unsafe operations resulting in human loss…
Security and Resilience in Autonomous Vehicles: A Proactive Design Approach
Chieh Tsai, Murad Mehrab Abrar, Salim Hariri
Autonomous vehicles (AVs) promise efficient, clean and cost-effective transportation systems, but their reliance on sensors, wireless communications, and decision-making systems ma…
Learning over Forward-Invariant Policy Classes: Reinforcement Learning without Safety Concerns
Chieh Tsai, Muhammad Junayed Hasan Zahed, Salim Hariri +1
This paper proposes a safe reinforcement learning (RL) framework based on forward-invariance-induced action-space design. The control problem is cast as a Markov decision process,…