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Euan McGookin. Senior Lecturer, Aerospace Sciences, School of Engineering, University of Glasgow. ... E Alfaro-Cid, EW McGookin, DJ Murray-Smith. Control Engineering Practice 17 (1), 185-197, 2009. 20: 2009: A mathematical model of a …

Euan MCGOOKIN, Senior Lecturer | Cited by 822 | of University of Glasgow, Glasgow (UofG) | Read 100 publications | Contact Euan MCGOOKIN

Dr Euan McGookin is Senior Lecturer in Aerospace and Robotic Systems in the Department of Aerospace Engineering, in the School of Engineering at the University of Glasgow. Euan was involved in the Hub funded Feasibility Study "Multi-Step Thermoforming of Multi-Cavity, Multi-Axial Advanced Thermoplastic Composite Parts".

Euan McGookin graduated from the University of Glasgow in 1993 with a master of engineering degree in Avionics. After attaining his Ph.D. in marine vehicle control from Glasgow in 1997, he worked for the Defence Evaluation and Research Agency (DERA), UK.

2024年5月14日 · View a PDF of the paper titled Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning, by Jan-Hendrik Ewers and Sarah Swinton and David Anderson and Euan McGookin and Douglas Thomson

Euan McGookin. Euan is Senior Lecturer in the School of Engineering, specialising in aerospace engineering and robotics. He is providing technical advice on the construction of Hero's machines and is working with Duncan on an article reflecting on …

Euan McGookin’s main research interest is the design, simulation, control and construction of autonomous robotic systems e.g. Autonomous Underwater Vehicles, Unmanned Aerial Vehicles, Rovers. Particular area of expertise is in biomimetic systems, which involves the design of robotic systems using biologically inspired principles.

Euan W. McGookin Senior Lecturer Division of Aerospace Sciences School of Engineering University of Glasgow Glasgow G12 8LT, Scotland, UK [email protected] Abstract— A novel approach to quantify the uncertainty associated with any aircraft trajectory prediction based on the application of the Polynomial Chaos (PC) theory is presented.