Key Skill Areas

The aim of the CDT is to train a world-class cohort of researchers in the theory and practice of a new generation of autonomous intelligent machines and systems. Training will be provided in four interconnected skills areas, the synthesis of which is key to building autonomy in AIMS applications.

How to Apply

Robotics, Vision and Perception

Enabling autonomous systems to identify and interpret complex scenes, from moving vehicles to human activity and form robust situation assessments to enable appropriate action and decision making.

Machine Intelligence & Multi-Agent Systems

Making machine autonomy and intelligence ubiquitous; allowing machines to discreetly pervade the world around us and assist us.

Control & Verification

Developing effective techniques to monitor and control intelligent machines, such as those used in manufacturing, transportation and biosensing/healthcare systems, and to ensure their safety and dependability.

M2M, Secure Sensing & Actuation

Realise the vision of connecting intelligent devices seamlessly and everywhere and to allow them to share their sensing, monitoring and actuating capabilities.

More on Key Skill Areas

The aim of the CDT is to train a world-class cohort of researchers in the theory and practice of a new generation of autonomous intelligent machines and systems. Training will be provided in four interconnected skills areas, the synthesis of which is key to building autonomy in AIMS applications.

Robotics, Vision and Perception
Machine Intelligence & Multi-Agent Systems
Control & Verification
M2M, Secure Sensing & Actuation
Robotics, Vision and Perception

The first key skills area is in enabling autonomous systems to identify and interpret complex scenes, from moving vehicles to human activity and form robust situation assessments to enable appropriate action and decision making. For example, robotic…

Read More
Machine Intelligence & Multi-Agent Systems

The second key skills area is in making machine autonomy and intelligence ubiquitous; allowing machines to discreetly pervade the world around us and assist us. At the heart of this is a scaling issue and the need…

Read More
Control & Verification

The third skills areas lies in developing effective techniques to monitor and control intelligent machines, such as those used in manufacturing, transportation and biosensing/healthcare systems, and to ensure their safety and dependability. For example, how do we…

Read More
M2M, Secure Sensing & Actuation

The fourth skills area will be to realise the vision of connecting intelligent devices seamlessly and everywhere and to allow them to share their sensing, monitoring and actuating capabilities. This is often referred to as “M2M” or…

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Mobile Robotics Week

Oxford’s AIMS (Autonomous Intelligent Machines and Systems) CDT students joined MRG to take part in a robotics challenge, working with…

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