Publications (9)
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
The increasingly photorealistic sample quality of generative image models suggests their feasibility in applications beyond image generation. We present the Neural Photo Editor, an…
Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms
Daniel Mitchell, Jamie Blanche, Osama Zaki +6
To reduce Operation and Maintenance (O&M) costs on offshore wind farms, wherein 80% of the O&M cost relates to deploying personnel, the offshore wind sector looks to Robotics and A…
A Review: Challenges and Opportunities for Artificial Intelligence and Robotics in the Offshore Wind Sector
Daniel Mitchell, Jamie Blanche, Sam Harper +7
A global trend in increasing wind turbine size and distances from shore is emerging within the rapidly growing offshore wind farm market. In the UK, the offshore wind sector produc…
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
When working with three-dimensional data, choice of representation is key. We explore voxel-based models, and present evidence for the viability of voxellated representations in ap…
Addressing Non-Intervention Challenges via Resilient Robotics utilizing a Digital Twin
Sam Harper, Shivoh Nandakumar, Daniel Mitchell +3
Multi-robot systems face challenges in reducing human interventions as they are often deployed in dangerous environments. It is therefore necessary to include a methodology to asse…
Bio-inspired Multi-robot Autonomy
Shivoh Chirayil Nandakumar, Samuel Harper, Daniel Mitchell +4
Increasingly, high value industrial markets are driving trends for improved functionality and resilience from resident autonomous systems. This led to an increase in multi-robot fl…
Millimeter-wave Foresight Sensing for Safety and Resilience in Autonomous Operations
Daniel Mitchell, Jamie Blanche, Sam T. Harper +4
Robotic platforms are highly programmable, scalable and versatile to complete several tasks including Inspection, Maintenance and Repair (IMR). Mobile robotics offer reduced restri…
FreezeOut: Accelerate Training by Progressively Freezing Layers
Andrew Brock, Theodore Lim, J. M. Ritchie +1
The early layers of a deep neural net have the fewest parameters, but take up the most computation. In this extended abstract, we propose to only train the hidden layers for a set…
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
Designing architectures for deep neural networks requires expert knowledge and substantial computation time. We propose a technique to accelerate architecture selection by learning…