DCAM — Dynamic Coating Application Module
Electro-mechanical module automating coating deployment onto power-grid conductors — V2 optimised for UAV deployment and pilot-run on a decommissioned Hydro-Québec line via LineDrone.
Electro-mechanical systems, robotics & precision design · Leeds / UK · open to senior industry and research roles
Precision electro-mechanical design for high-reliability industries — BS 8888/GD&T drawing packages, tolerance analysis, and concept-to-CNC-machined production. Recent work: AssetCool DCAM mechanism and Tenneco AMG programme cooling-plate redesign.
Closed-loop test rigs with device integration (motors, sensors, DAQ, embedded controllers) at Borg Automotive UK; field-deployed robotic coating system with mechanical design, actuation, and fluid delivery, coordinating with electronics and software teams — commissioned with Hydro-Québec on a decommissioned line. Python, C++, ROS2.
PhD (Biomedical Engineering / Collaborative Robotics, University of Reading) — physics-based upper-limb models, Hill-type muscles, MuJoCo. Plus the World-Model Latent Audit — auditing whether learned representations retain physical consequences.
Electro-mechanical module automating coating deployment onto power-grid conductors — V2 optimised for UAV deployment and pilot-run on a decommissioned Hydro-Québec line via LineDrone.
Controlled study of whether learned representations capture what causes outcomes — measured consequence recovery in a physics simulation harness.
Physics-based upper-limb motion — two- and three-link rigid-body models with Hill-type muscle actuators, benchmarked against motion-capture data (MATLAB, OpenSim, MuJoCo).