11 citations · 12 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
HIFuzz: Human Interaction Fuzzing for small Unmanned Aerial Vehicles
Theodore Chambers, Michael Vierhauser, Ankit Agrawal +5
Small Unmanned Aerial Systems (sUAS) must meet rigorous safety standards when deployed in high-stress emergency response scenarios; however many reported accidents have involved hu…