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Browsing by Author "Sarhadi, Pouria"
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Deep reinforcement learning for adaptive path planning and control of an autonomous underwater vehicle
Hadi, Behnaz; Khosravi, Alireza; Sarhadi, Pouria (2022-11-01)Research into intelligent motion planning methods has been driven by the growing autonomy of autonomous underwater vehicles (AUV) in complex unknown environments. Deep reinforcement learning (DRL) algorithms with actor-critic ... -
Geofencing Motion Planning for Unmanned Aerial Vehicles Using an Anticipatory Range Control Algorithm
Thomas, Peter; Sarhadi, Pouria (2024-01-04)This paper presents a range control approach for implementing hard geofencing for unmanned air vehicles (UAVs), and especially remotely piloted versions (RPVs), via a proposed anticipatory range calculator. The approach ... -
An Integrated Risk Assessment and Collision Avoidance Methodology for an Autonomous Catamaran with Fuzzy Weighting Functions
Sarhadi, Pouria; Naeem, Wasif; Athanasopoulos, Nikolaos (Institute of Electrical and Electronics Engineers (IEEE), 2022-04-22)Collision avoidance and risk assessment are open problems to be practically addressed in maritime transportation. In high-speed vessels this problem becomes more challenging due to manoeuvring and reaction time constraints. ... -
On the Application of Agile Project Management Techniques, V-Model and Recent Software Tools in Postgraduate Theses Supervision
Sarhadi, Pouria; Naeem, Wasif; Fraser, Karen; Wilson, David (Elsevier, 2022-10-06)Abstract: Due to the nature of most postgraduate theses in control engineering and their similarities to industrial and software engineering projects, invoking novel project control techniques could be effective. In recent ... -
A Survey of Recent Machine Learning Solutions for Ship Collision Avoidance and Mission Planning
Sarhadi, Pouria; Naeem, Wasif; Athanasopoulos, Nikolaos (2022-11-29)Machine Learning (ML) techniques have gained significant traction as a means of improving the autonomy of marine vehicles over the last few years. This article surveys the recent ML approaches utilised for ship collision ...