Daniel Mitchell

Email: D.Mitchell.5@research.gla.ac.uk

LinkedIn: https://www.linkedin.com/in/daniel-mitchell1/

TikTok: @Robot_Myths

Summary Video : Symbiotic Multi-Robot Fleets

ORCID iDhttps://orcid.org/0000-0002-9390-4150

Research title: Symbiotic Multi-Robot Fleets for Scalable Resilient Cyber Physical Systems

Research Summary

Several challenges currently exist within Inspection, Maintenance and Repair (IMR) of complex offshore infrastructures where this research topic focusses on safety and optimization of robotic solutions. Safety should always take priority in any engineering solution. Opportunities exist in robotic solutions which can be utilized to remove humans from dangerous areas which are typically involved during IMR of large offshore assets. There are also additional challenges which exist in robots as independent platforms are not designed to coexist in a Multi-Robot (MR) fleet for autonomous operations. For example, an autonomous mission where a UAV collaborates alongside a quadruped robot within an inspection mission. Therefore, opportunities exist in creating a methodology/technology which allows for a MR fleet to Cooperate, Collaborate and Corroborate (C3) information from all types of autonomous missions and across a range of device/robots.

This research identifies MR fleets as key elements within the optimization of sector-wide autonomy as a service where a diverse range of robots can leverage the capability of autonomous missions. This is achieved via a Symbiotic System of Systems Approach (SSOSA) where key research elements include resilience, reliability and safety of robotic platforms.

Why a Symbiotic System of Systems Approach (SSOSA)? - Symbiotic systems allow us to understand and positively contribute to the health of the asset systems and robots. This builds on safety, resilience and reliability in Beyond Visual Line of Sight (BVLOS) situations, where human deployment is problematic and hazardous. A system of systems approach allows for independent systems to become part of a unique capability which is created as part of a larger system via mutualistic gain across systems.

The cyber physical systems approach allows for the orchestration of a MR fleet and environmental sensors to allow for the human-in-the-loop to have an increased operational overview. The Symbiotic Digital Architecture also allows for autonomous decision making (symbiotic interactions) to take place across the MR fleet. This could be to rectify unforeseen challenges which are found within an autonomous mission due to resilience and/or reliability allowing for robots to interact with each other via data sharing and physical interactions such as supplying tools or optimisation of a mission via another type of robot.

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021
Number of items: 8.

2023

Tang, W., Brown, K., Mitchell, D., Blanche, J. and Flynn, D. (2023) Subsea power cable health management using machine learning analysis of low frequency wide band sonar data. Energies, 16(17), 6172. (doi: 10.3390/en16176172)

Blanche, J., Mitchell, D., West, A., Harper, S., Groves, K., Lennox, B., Watson, S. and Flynn, D. (2023) Microwave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189266)

Harper, S. T., Mitchell, D., Nandakumar, S. C., Blanche, J., Lim, T. and Flynn, D. (2023) Addressing Non-Intervention Challenges via Resilient Robotics Utilizing a Digital Twin. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-8. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189310)

Mitchell, D., Blanche, J., Harper, S., Lim, T. and Flynn, D. (2023) Microwave Foresight Sensing for Safety Compliance in Autonomous Operations. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189296)

Tang, W., Blanche, J., Mitchell, D., Harper, S. and Flynn, D. (2023) Characterisation of composite materials for wind turbines using frequency modulated continuous wave sensing. Journal of Composites Science, 7(2), 75. (doi: 10.3390/jcs7020075)

2022

Mitchell, D., Blanche, J., Desmulliez, M., Pavuluri, S. and Flynn, D. (2022) Ground Based Inspection for Overhead Transmission Line Sag. In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, United Kingdom, 24-26 October 2022, pp. 1-4. ISBN 9781665488235 (doi: 10.1109/icecs202256217.2022.9971028)

Mitchell, D., Blanche, J., Harper, S., Lim, T., Gupta, R., Zaki, O., Tang, W., Robu, V., Watson, S. and Flynn, D. (2022) A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector. Energy and AI, 8, 100146. (doi: 10.1016/j.egyai.2022.100146)

2021

Mitchell, D., Blanche, J., Zaki, O., Roe, J., Kong, L., Harper, S., Robu, V., Lim, T. and Flynn, D. (2021) Symbiotic System of Systems design for safe and resilient autonomous robotics in offshore wind farms. IEEE Access, 9, pp. 141421-141452. (doi: 10.1109/ACCESS.2021.3117727)

This list was generated on Tue Aug 29 08:04:05 2023 BST.
Jump to: Articles | Conference Proceedings
Number of items: 8.

Articles

Tang, W., Brown, K., Mitchell, D., Blanche, J. and Flynn, D. (2023) Subsea power cable health management using machine learning analysis of low frequency wide band sonar data. Energies, 16(17), 6172. (doi: 10.3390/en16176172)

Tang, W., Blanche, J., Mitchell, D., Harper, S. and Flynn, D. (2023) Characterisation of composite materials for wind turbines using frequency modulated continuous wave sensing. Journal of Composites Science, 7(2), 75. (doi: 10.3390/jcs7020075)

Mitchell, D., Blanche, J., Harper, S., Lim, T., Gupta, R., Zaki, O., Tang, W., Robu, V., Watson, S. and Flynn, D. (2022) A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector. Energy and AI, 8, 100146. (doi: 10.1016/j.egyai.2022.100146)

Mitchell, D., Blanche, J., Zaki, O., Roe, J., Kong, L., Harper, S., Robu, V., Lim, T. and Flynn, D. (2021) Symbiotic System of Systems design for safe and resilient autonomous robotics in offshore wind farms. IEEE Access, 9, pp. 141421-141452. (doi: 10.1109/ACCESS.2021.3117727)

Conference Proceedings

Blanche, J., Mitchell, D., West, A., Harper, S., Groves, K., Lennox, B., Watson, S. and Flynn, D. (2023) Microwave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189266)

Harper, S. T., Mitchell, D., Nandakumar, S. C., Blanche, J., Lim, T. and Flynn, D. (2023) Addressing Non-Intervention Challenges via Resilient Robotics Utilizing a Digital Twin. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-8. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189310)

Mitchell, D., Blanche, J., Harper, S., Lim, T. and Flynn, D. (2023) Microwave Foresight Sensing for Safety Compliance in Autonomous Operations. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189296)

Mitchell, D., Blanche, J., Desmulliez, M., Pavuluri, S. and Flynn, D. (2022) Ground Based Inspection for Overhead Transmission Line Sag. In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, United Kingdom, 24-26 October 2022, pp. 1-4. ISBN 9781665488235 (doi: 10.1109/icecs202256217.2022.9971028)

This list was generated on Tue Aug 29 08:04:05 2023 BST.

Supervisors