Outputs (903)

Dock-to-dock multimodal freight transportation in coastal regions (2022)
Presentation / Conference Contribution

The Dock to Dock (D2D) project defines the primary infrastructure for future electric freight transport solutions between coastal cities, in particular the energy infrastructure (battery charging/hydrogen refuelling) required for ground vehicles, and... Read More about Dock-to-dock multimodal freight transportation in coastal regions.

Validation of shock-wave/turbulent boundary-layer interaction flows by high-fidelity numerical simulations (2022)
Presentation / Conference Contribution

Shock-wave/turbulent-boundary-layer interactions (SWTBLI) are prevalent phenomena around high-speed vehicles. The resultant strong adverse pressure gradient will induce large flow separation, high wall heat flux, and strong pressure fluctuation, alon... Read More about Validation of shock-wave/turbulent boundary-layer interaction flows by high-fidelity numerical simulations.

A novel dynamic movement primitives-based skill learning and transfer framework for multi-tool use (2022)
Presentation / Conference Contribution

Dynamic Movement Primitives (DMPs) is a general method for learning skills from demonstrations. Most previous research on DMP has focused on point to point skill learning and training, and the skills learned are usually generalized based on the same... Read More about A novel dynamic movement primitives-based skill learning and transfer framework for multi-tool use.

An OctoMap-based 3D CostMap (2022)
Presentation / Conference Contribution

The development of OctoMap created an efficient, discrete, three-dimensional (3D) mapping framework that has been very useful in autonomous robotics for representing occupied and free space in the robot's environment. This paper presents an OctoMap-b... Read More about An OctoMap-based 3D CostMap.

Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform (2022)
Presentation / Conference Contribution

We present a neurorobotic model that can associate self motion (odometry) with vision to correct for drift in a spiking neural network model of head direction based closely on known rodent neurophys-iology. We use a deep predictive coding network to... Read More about Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform.

Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa (2022)
Presentation / Conference Contribution

Existing machine learning models for crop yield prediction model environmental data on the assumption that soil variables are unaffected by weather variables and therefore learn their intrinsic features independently. If the focus of crop yield predi... Read More about Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa.

Calcination and characterization of low-grade fuel and kaolinitic clay blends (2022)
Presentation / Conference Contribution

Calcined clay blended cement (LC 3 types of cement) is one of the most promising solutions for CO 2 abatement in global cement industries. This study presents results on the characterization of products obtained in simultaneous calcination of kaolini... Read More about Calcination and characterization of low-grade fuel and kaolinitic clay blends.

Tuning of compliant composite shell structures for assisted living (2022)
Presentation / Conference Contribution

The Office for National Statistics’ 50-year forecast predicts that the over sixty-five population of the UK will increase by 8.6 million [1], reflecting a world-wide trend towards ageing populations. Reduced mobility is commonplace within this demogr... Read More about Tuning of compliant composite shell structures for assisted living.

Tuning of composite structures for bespoke assistive devices (2022)
Presentation / Conference Contribution

Characterising the transformative shear response of cellular lattices when subject to topological reconfiguration (2022)
Presentation / Conference Contribution

Demand for lightweight, adaptive and re-configurable structures is increasing in many fields such as space and robotics, encouraging designers to develop morphing lattice structures [1]. Changes in topology of lattice-like structures alters their eff... Read More about Characterising the transformative shear response of cellular lattices when subject to topological reconfiguration.