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All Outputs (7)

The ethics of travel: how can computing help to ensure transport is safe, sustainable and acceptable? (2025)
Journal Article
Gordon, N., Akindele, T., & Morel, P. (2025). The ethics of travel: how can computing help to ensure transport is safe, sustainable and acceptable?. Itnow, 67(2), 14-15. https://doi.org/10.1093/itnow/bwaf039

Transport is key to modern life – we travel for work, we depend on the transport industry to move food, resources and products. We travel for family and for leisure. In countries like the UK, we spend significant time and resource on travel. Computin... Read More about The ethics of travel: how can computing help to ensure transport is safe, sustainable and acceptable?.

Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics (2023)
Journal Article
Balding, S., Gning, A., Cheng, Y., & Iqbal, J. (2023). Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics. Applied Sciences, 13(8), Article 5065. https://doi.org/10.3390/app13085065

Robotic agents are now ubiquitous in both home and work environments; moreover, the degree of task complexity they can undertake is also increasing exponentially. Now that advanced robotic agents are commonplace, the question for utilisation becomes... Read More about Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics.

The role of ‘living laboratories’ in accelerating the energy system decarbonization (2022)
Journal Article
Fan, Z., Cao, J., Jamal, T., Fogwill, C., Samende, C., Robinson, Z., Polack, F., Ormerod, M., George, S., Peacock, A., & Healey, D. (2022). The role of ‘living laboratories’ in accelerating the energy system decarbonization. Energy Reports, 8, 11858-11864. https://doi.org/10.1016/j.egyr.2022.09.046

To decarbonize the energy system by the year 2050, it is crucial that innovations are trialled in a ‘real world’ setting for the purpose of increasing public adoption and support, and for providing insights to decision-makers to ensure their decision... Read More about The role of ‘living laboratories’ in accelerating the energy system decarbonization.

Consensus Adversarial Defense Method Based on Augmented Examples (2022)
Journal Article
Ding, X., Cheng, Y., Luo, Y., Li, Q., & Gope, P. (2022). Consensus Adversarial Defense Method Based on Augmented Examples. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/TII.2022.3169973

Deep learning has been used in many computer-vision-based industrial Internet of Things applications. However, deep neural networks are vulnerable to adversarial examples that have been crafted specifically to fool a system while being imperceptible... Read More about Consensus Adversarial Defense Method Based on Augmented Examples.

Control of an anthropomorphic manipulator using LuGre friction model - Design and experimental validation (2021)
Journal Article
Ali, K., Mehmood, A., Muhammad, I., Razzaq, S., & Iqbal, J. (2021). Control of an anthropomorphic manipulator using LuGre friction model - Design and experimental validation. Strojniški vestnik - Journal of Mechanical Engineering, 67(9), 401-410. https://doi.org/10.5545/sv-jme.2021.7258

Automation technology has been extensively recognized as an emerging field in various industrial applications. Recent breakthrough in flexible automation is primarily due to deployment of robotic arms or manipulators. Autonomy in these manipulators i... Read More about Control of an anthropomorphic manipulator using LuGre friction model - Design and experimental validation.

UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control (2021)
Journal Article
Ullah, N., Mehmood, Y., Aslam, J., Ali, A., & Iqbal, J. (2021). UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control. IEEE Access, 9, 74385-74405. https://doi.org/10.1109/ACCESS.2021.3081483

Leader follower formation of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) has found numerous applications such as surveillance of critical infrastructure, industrial automation and disaster management emergency. For completion... Read More about UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control.

Deep reinforcement learning for maintenance planning of offshore vessel transfer (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, October). Deep reinforcement learning for maintenance planning of offshore vessel transfer. Presented at 4th International Conference on Renewable Energies Offshore (RENEW 2020), Lisbon, Portugal

Offshore wind farm operators need to make short-term decisions on planning vessel transfers to turbines for preventive or corrective maintenance. These decisions can play a pivotal role in ensuring maintenance actions are carried out in a timely and... Read More about Deep reinforcement learning for maintenance planning of offshore vessel transfer.