6 citations · 21 across the 7 of their papers we have counts for
3 papers · 1 filter
In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators
Dmytro Humeniuk, Houssem Ben Braiek, Thomas Reid +1
Testing autonomous robotic manipulators is challenging due to the complex software interactions between vision and control components. A crucial element of modern robotic manipulat…
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
Evolutionary search-based techniques are commonly used for testing autonomous robotic systems. However, these approaches often rely on computationally expensive simulator-based mod…
AmbieGen: A Search-based Framework for Autonomous Systems Testing
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
Thorough testing of safety-critical autonomous systems, such as self-driving cars, autonomous robots, and drones, is essential for detecting potential failures before deployment. O…