3 papers
cs.SE2026
Uncovering Failures in Cyber-Physical System State Transitions: A Fuzzing-Based Approach Applied to sUAS
Theodore Chambers, Arturo Miguel Russell Bernal, Michael Vierhauser +1
The increasing deployment of small Uncrewed Aerial Systems (sUAS) in diverse and often safety-critical environments demands rigorous validation of onboard decision logic under vari…
cs.MA2025
Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
Pedro Antonio Alarcon Granadeno, Theodore Chambers, Jane Cleland-Huang
Industrial catastrophes like the Bhopal disaster (1984) and the Aliso Canyon gas leak (2015) demonstrate the urgent need for rapid and reliable plume tracing algorithms to protect…
cs.SE2025
Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Katherine Dearstyne, Pedro, Alarcon Granadeno +2
Cyber-Physical Systems (CPS) often leverage Reinforcement Learning (RL) techniques to adapt dynamically to changing environments and optimize performance. However, it is challengin…