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cs.SE2026
UAMTERS: Uncertainty-Aware Mutation Analysis for DL-enabled Robotic Software
Chengjie Lu, Jiahui Wu, Shaukat Ali +5
Self-adaptive robots adjust their behaviors in response to unpredictable environmental changes. These robots often incorporate deep learning (DL) components into their software to…
cs.SE2025
Quantum Machine Learning-based Test Oracle for Autonomous Mobile Robots
Xinyi Wang, Qinghua Xu, Paolo Arcaini +2
Robots are increasingly becoming part of our daily lives, interacting with both the environment and humans to perform their tasks. The software of such robots often undergoes upgra…
cs.SE2025
Vision Language Model-based Testing of Industrial Autonomous Mobile Robots
Jiahui Wu, Chengjie Lu, Aitor Arrieta +2
PAL Robotics, in Spain, builds a variety of Autonomous Mobile Robots (AMRs), which are deployed in diverse environments (e.g., warehouses, retail spaces, and offices), where they w…