Robotics cyber security: Vulnerabilities, attacks, countermeasures, and recommendations
The recent digital revolution led robots to become integrated more than ever into different
domains such as agricultural, medical, industrial, military, police (law enforcement), and …
domains such as agricultural, medical, industrial, military, police (law enforcement), and …
[HTML][HTML] Cyber security of robots: A comprehensive survey
The use of robots in the modern world is widespread, not only in medicine and automated
vehicles, but also in national security, defense, and industry. Together with the growing …
vehicles, but also in national security, defense, and industry. Together with the growing …
The internet of modular robotic things: Issues, limitations, challenges, & solutions
The world is becoming more digitized with the rise of modular robotic systems. Therefore,
with the increasing demands and needs for robotics, the modular robotic domain was …
with the increasing demands and needs for robotics, the modular robotic domain was …
Cybersecurity of robotic systems: Leading challenges and robotic system design methodology
V Dutta, T Zielińska - Electronics, 2021 - mdpi.com
Recent years have seen a rapid development of the Internet of Things (IoT) and the growth
of autonomous robotic applications which are using network communications. Accordingly …
of autonomous robotic applications which are using network communications. Accordingly …
MBSNN: A multi-branch scalable neural network for resource-constrained IoT devices
H Wang, L Li, Y Cui, N Wang, F Shen, T Wei - Journal of Systems …, 2023 - Elsevier
Recent breakthroughs in artificial intelligence promote the development of deep neural
networks (DNNs)-based intelligent applications in the Internet of Things (IoT). However …
networks (DNNs)-based intelligent applications in the Internet of Things (IoT). However …
[HTML][HTML] Software architecture-based self-adaptation in robotics
Context: Robotics software architecture-based self-adaptive systems (RSASSs) are robotics
systems made robust to runtime uncertainty by adapting their software architectures. The …
systems made robust to runtime uncertainty by adapting their software architectures. The …
An overview: On path planning optimization criteria and mobile robot navigation
Mobile robots are growing more significant from time to time and have been applied to many
fields such as agriculture, space, and even human life. It could improve mobile robot …
fields such as agriculture, space, and even human life. It could improve mobile robot …
Deep Learning of Sensor Data in Cybersecurity of Robotic Systems: Overview and Case Study Results
Recent technological advances have enabled the development of sophisticated robotic and
sensor systems monitored and controlled by algorithms based on computational …
sensor systems monitored and controlled by algorithms based on computational …
ROZZ: property-based fuzzing for robotic programs in ROS
ROS is popular in robotic-software development, and thus detecting bugs in ROS programs
is important for modern robots. Fuzzing is a promising technique of runtime testing. But …
is important for modern robots. Fuzzing is a promising technique of runtime testing. But …
Multi-objective genetic algorithm for mobile robot path planning in industrial automation
KS Suresh, KS Ravichandran… - Journal of Intelligent & …, 2023 - content.iospress.com
Due to the problem's high level of complexity, the optimization strategies used for the mobile
robot path planning problem are quite expensive. The Mobile Robot Path Search based on …
robot path planning problem are quite expensive. The Mobile Robot Path Search based on …