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[HTML][HTML] Analysis of attack intensity on autonomous mobile robots
E Basan, A Basan, A Mushenko, A Nekrasov, C Fidge… - Robotics, 2024 - mdpi.com
Autonomous mobile robots (AMRs) combine a remarkable combination of mobility,
adaptability, and an innate capacity for obstacle avoidance. They are exceptionally well …
adaptability, and an innate capacity for obstacle avoidance. They are exceptionally well …
DCWM-LSTM: A novel attack detection framework for Robotic Arms
EN YolaçAN, HÇŞ Zaim - IEEE Access, 2025 - ieeexplore.ieee.org
Robotic systems have become integrated components across various industries, offering
improved operational efficiency and automation. However, this wide usage area makes …
improved operational efficiency and automation. However, this wide usage area makes …
Enhanced Intrusion Detection in Robot Operating Systems via Grid Search Based Multi-Head Attention Stacked Convolutional Network
This study presents a novel intrusion detection system (IDS) for Robot Operating Systems
(ROS), utilising a hybrid neural network combining 1D Convolutional Neural Networks …
(ROS), utilising a hybrid neural network combining 1D Convolutional Neural Networks …
Attack Datasets for ROS Intrusion Detection Systems
H Kim, S Lee, J Heo, HJ Jo - Journal of the Korea Institute of …, 2024 - koreascience.kr
In recent decades, research and development in the field of industrial robotics, such as an
unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV), has been …
unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV), has been …