We have 138 autonomous PhD Projects, Programmes & Scholarships

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autonomous PhD Projects, Programmes & Scholarships

We have 138 autonomous PhD Projects, Programmes & Scholarships

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Modelling human supervision of autonomous systems for chemistry labs

Background. Human decision-making is critical for the safety and efficacy of supervised autonomous systems. As such, human behaviour should be accounted for in their design and verification. Read more

Human-Like Shared & Autonomous Driving of Future Vehicles

Title. Human-Like Shared & Autonomous Driving of Future Vehicles. Overview. With the development of autonomous vehicles, the transportation industry is poised for a major transformation. Read more

Motion Planning in Autonomous Robots

The project will focus primarily on Autonomous Robots. The general research theme involves theoretical and experimental study of Autonomous Vehicles with emphasis on advanced motion control for unmanned vehicles. Read more

Human Interaction with Low-Speed Autonomous Vehicles

The University of York is embarking on ground-breaking research that focuses on data-centric engineering, digital twins, and AI, revolutionizing the way systems are designed and optimized through data. Read more

EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems

 Heriot-Watt University and the University of Edinburgh are jointly offering an exciting opportunity to study a PhD through an innovative 4-year PhD training programme, drawing on our extensive experience with postgraduate teaching and research supervision in the area of Robotics and Autonomous Systems. Read more

EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems

 Heriot-Watt University and the University of Edinburgh are jointly offering an exciting opportunity to study a PhD through an innovative 4-year PhD training programme, drawing on our extensive experience with postgraduate teaching and research supervision in the area of Robotics and Autonomous Systems. Read more

Developing Reliable Software for Autonomous Robots

Autonomous robotics are desirable in hazardous environments such as nuclear decommissioning and space exploration. But before we can deploy autonomous robots we need a fundamental change to the way that these autonomous systems are verified and assessed. Read more

Autonomous Drone Surveys and Convolutional Neural Networks for Bridge Maintenance: A Predictive Approach Using Finite Element Analysis

Objective. The primary objective of this research is to develop a comprehensive framework for bridge maintenance that integrates autonomous drone surveys, convolutional neural networks (CNNs), and Finite Element analysis. Read more

Autonomous Intelligent Transportation Systems and Data Science

The University of York is embarking on transformative research in data-centric engineering, digital twins, and AI, revolutionizing the way systems are designed and operated. Read more

Testing Robotics and Autonomous Systems Using Search-based Techniques

  Research Group: Applied Computing
Robotics and Autonomous Systems (RAS) are becoming indispensable for human productivity and it is estimated that there will be a £13 billion global market for RAS by 2025. Read more

Development of an autonomous mobile robotic system for agriculture applications

This project aims to design and develop a Mobile Robotic System which will autonomously and safely navigate within an agriculture setting to monitor and respond to key sensor data of moisture and temperature to optimise particular farming tasks to support farmers and reduce risks of contamination and/or infection. Read more

Intelligent Control for Autonomous Vehicles

OVERVIEW. The School of Aeronautical, Automotive, Chemical and Materials Engineering has seen 100% of its research impact rated as ‘world leading’ or ‘internationally excellent’, underlining the wide-ranging positive impacts that our research has on the world (REF, 2021). Read more

Model Predictive Control for Autonomous Vehicles and Robots [Self-Funded Students Only]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more

Trust in Distributed Surveillance Systems

Are you interested in Machine Learning and Signal Processing methods and theirapplications to autonomous systems and surveillance? We have a PhD projectfunded by the UK Government Defence Science and Technology Laboratory (DSTL) at the University of Sheffield, a leading World University and a Russell Group University in the UK. Read more

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