UK engineers from University of Glasgow, University of Manchester, Bristol Robotics Laboratory and Heriot-Watt University are developing the Symbiotic Multi-Robot Fleet (SMuRF) system, which could help with NPP decommissioning.
The system provides a seamless method to enable wheeled, four-legged and airborne robots to collaborate and complete difficult or hazardous tasks. A single human supervisor can remotely observe the actions of the robots as they share sensor data and combine their abilities to achieve results far more efficiently than a single machine.
SMuRFs could offer authorities, regulators and industry a safer, faster method of monitoring nuclear facilities, as well as opening up new opportunities for the maintenance of engineering infrastructure in challenging environments. A paper, ‘Lessons Learned: Symbiotic Autonomous Robot Ecosystem for Nuclear Environments', recently published in the journal IET Cyber-Systems and Robotics outlines how researchers deployed the SMuRF in a practical demonstration. This took place at the Robotics & Artificial Intelligence Collaboration (RAICo) facility in Cumbria. RAICo is a collaboration between the UK Atomic Energy Authority (UKAEA), Nuclear Decommissioning Authority (NDA), Sellafield Ltd and the University of Manchester.
During the demonstration, the SMuRF successfully completed an inspection mission in a simulated radioactive storage facility containing some of the challenges found in real nuclear power decommissioning environments. The robots’ ability to collaborate is the result of a sophisticated computer system developed by the researchers, which they call a ‘cyber physical system (CPS).
The CPS is capable of communicating with up to 1,600 sensors, robots and other digital and physical assets in near to real-time. It also allows robots with very different abilities and operating systems to work together and most importantly, update the human operator.
The data collected and processed by the CPS enables the creation of a 3D digital twin of a real space. That allows the SMuRF to navigate around the space and carry out tasks with minimal oversight, while providing human operators with a wealth of data via a specially-designed digital dashboard to help the SMuRF make informed decisions if required. Human operators can also take direct control of the robots if necessary.
Combining the robots’ abilities allowed them to complete a series of tasks often applied to radiation monitoring around nuclear sites known as post-operational cleanout. The robots collaborated to map the environment, creating a 3D digital twin of the space using their onboard sensors, which was supported by further mapping from an aerial drone piloted by a human operator.
Boston Dynamics’ Spot fetched tools for closer scans using its flexible arm, while wheeled robots Scout and CARMA mapped radiation levels across the testing environment. The CARMA robot successfully detected a simulated spill of radioactive liquid underneath a waste barrel, a detection that could help ensure proper containment and cleanup in a real-world environment.
Daniel Mitchell of the University of Glasgow’s James Watt School of Engineering, the paper’s corresponding author, said: “The robots we programmed and designed in this prototype SMuRF each have their own unique abilities and limitations, as well as their own operating systems. During the deployment of the SMuRF at RAICo, we were able to show how well the robots can work together and how the digital twin we built can provide remarkable situational awareness for human operators.”
He added: “That could make them ideally-suited for the challenges of working in potentially hazardous environments such nuclear inspection and decommissioning. “Humans will still be required to oversee and direct the robot fleet, but their high level of autonomy could help keep people safe by allowing them to interact with the robots from their desks instead of visiting work sites.”
David Flynn, Professor in Cyber Physical Systems at the University of Glasgow, co-author of the paper, added: “These kinds of autonomous robotic fleets have a great deal of potential to undertake a wide range of dangerous, dirty, dull, distant and dear jobs….
The next step for our research is to integrate a wider range of robots in our fleets, with even more diverse abilities to sense their surroundings, move through them in new ways, and manipulate objects.”
According to Dr Paul Baniqued of the University of Manchester, the digital architecture “was inspired by the fleet management system, as seen in strategic video games, which depicts individual members of the SMuRF operating simultaneously in the digital twin environment”. This allows the human operator to focus their attention on a single interface, enabling a better understanding of the task at hand.
The research was supported by funding from the Engineering and Physical Sciences Research Council (EPSRC).
Image: The team of scientists with autonomous robots making up the SMuRF system
