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PhD Thesis: Bayesian Learning for Control in Multimodal Dynamical Systems featured image

PhD Thesis: Bayesian Learning for Control in Multimodal Dynamical Systems

Mode remaining navigation (and exploration) in unknown multimodal dynamical systems via model-based reinforcement learning.

Aidan Scannell
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Uncertain Agentspeak

During the first (taught) year of the FARSCOPE CDT program I conducted my masters thesis under the supervision of Professor Weiru Liu and Dr Kevin McAreavey titled “Extending BDI …

Aidan Scannell
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Amazon Picking Challenge

As part of the FARSCOPE CDT program I worked in a team to develop a solution to Amazon’s picking challenge. This involved designing a robotic pick-and-place system that was capable …

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Kidnapped Robot

This project involved developing algorithms capable of localising a robot within a known environment but at an unknown position and moving it to a target location. This was …

Aidan Scannell
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UAV Swarm

This project involved developing distributed software enabling a swarm of fixed wing UAVs to track a pollutant cloud. A discrete time state space model of the world was produced …

Aidan Scannell
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