Robotics hardware · Applied machine learning
Thomas Green
I am an AI/Data Engineer at the FIA Formula E World Championship and an MSc Robotics student. Most recently that has meant a dissertation investigating the integration of tactile feedback into vision-language-action models, building prediction and simulation tooling for the Formula E World Championship, and a soft robot that installs fibre-optic cable through buried ducting.
- MSc RoboticsUniversity of Bristol
- MEng Mechatronic EngineeringUniversity of Southampton
Selected projects
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In progress
Tactile perception in VLA models
MSc research adding a tactile channel to a pretrained VLA, tested on an ABB YuMi with materials that look identical to the camera.
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Soft vine robot for fibre installation
A robot that grows along buried ducting to pull fibre-optic cable, now in production and testing after field trials.
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In progress
Sim-to-real transfer on a manipulator
Coming soon…
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Autonomous pedal-actuation robot
Retrofitting autonomous control onto a conventional vehicle, from mechanical design through to a characterised closed-loop actuator.
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Circuit design simulation
Lap-simulation tooling the track-design team uses to evaluate a prospective circuit before any survey data exists.
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Live race-outcome prediction
Win prediction built in-house, replacing an external model that predicted the winner correctly less than half the time.
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A low-cost radiation telerobot
A teleoperated rover carrying a georeferenced Geiger counter, which traced a buried effluent pipeline the most recent site survey had not documented.
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Learned control for straight-line driving
Four controllers compared on one track, ending with a 43-parameter network trained on the robot itself, which didn't beat the controller it copied.
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Classification, clustering and RL in a dungeon
The AI for Robotics coursework: two algorithms compared on each of three tasks, from classifying sprites to learning a maze.
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E-paper summaries in a notebook cover
An e-paper display built into the cover of a hardback notebook, driven by a Pico, summarising the handwritten pages inside it.
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Detecting and counting apples in orchards
Faster R-CNN and YOLO compared on the same orchard dataset for detection, counting and instance segmentation.
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The village flag of Kippford
Designed for the community's flag competition, through eleven proposals to an adopted design that now flies.
Other projects
See my other projects (mostly smaller and for my own use), on my GitHub profile.
Get in touch
The fastest way to reach me is tbbgreen@gmail.com.