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Iain Haughton Lead Research Scientist at the Dyson AI Lab, where I am part of a team focused on data-driven machine learning. With over seven years of experience in algorithm development, data analysis, and machine learning across physics, medicine, and robotics, I have a strong background in creating and evaluating innovative ML solutions. My skills in AI were further honed during a two-year secondment to Imperial College, where I collaborated closely with Andrew Davison and his team. Recently, I initiated an AI Lab for Dyson, focussing on pioneering machine learning technologies applied to robotics. |
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Research HighlightsSome highlights from my publishable research are listed below. Recently, my work has centered on the intersection of reinforcement learning, imitation learning, and unsupervised representation learning. |
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2023
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Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
Xiao Ma, Sumit Patidar, and Stephen James |
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2022
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Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter
, Edgar Sucar, Andre Mouton, Edward Johns, Andrew Davison |
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Conference Talk
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Patent: Method for Updating a Scene Representation Model
, Andre Mouton, Edgar Sucar, Edward Johns, Andrew Davison |
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2021
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iLabel: Interactive Neural Scene Labelling
Shuaifeng Zhi, Edgar Sucar, Andre Mouton, , Tristan Laidlow, Andrew J. Davison |
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2020
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Patent: Robot Gripper Force Sensing Device
, Eduardo Farnioli |
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2015
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Particle Physics: A Diamond Detector for Particle Tracking
et. al |
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2012
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Observation of a New Particle in the Search for the Standard Model Higgs Boson with the ATLAS Detector at the LHC
ATLAS Collaboration |
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