Autonomous Cyber-Physical Systems

This research will analyze autonomous cyber-physical system architecture to evaluate which provides optimum advantages over other architectures in terms of cost reduction, flexibility, and sustainability. Risk minimization, reuse, and maintenance ability shall be observed by comparing autonomous cyber-physical system architecture with conventional architectures. Additionally, the potential impacts autonomous cyber-physical system architecture possesses for organizations for facilitating the modernization and scalability of systems shall also be covered. The research outcomes can provide valuable insight to firms and help them determine the most suitable architecture to fulfill their requirements economically and sustainably while balancing risk factors.

The technologies that are incorporated in open-system architecture include:

• Decentralized Networks
• Hardware Security
• Modular Algorithm Design
• Modeling and Simulation
• Real-Time Computing and Monitoring
• Hardware Acceleration
• Cloud Computing
• Machine Learning

Industry Application

This project was sponsored by the US Office of Naval Research (ONR), with the industry partners being Oceaneering, Cavotec, and Mechaspin. The goal was to automate the docking of two vessels in a challenging and dangerous mooring process. Advanced algorithms were developed to replace the need for human sailors, reducing hazards associated with mooring while also increasing mooring efficiency.

This automated system allowed for a more precise and consistent mooring process, improving the safety of the ship and its crew. It also considered the movement of both vessels and wave motion when calculating command-and-control actions for robotic manipulators. This automation reduced the risk of accidents and injuries while completing tasks more quickly.