Robotics and AI - EENG6005

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2026 to 2027
Canterbury
Autumn Term 6 20 (10) Vahid Azimirad checkmark-circle

Overview

Robotics and artificial intelligence (AI) are the most effective engineering areas in human life now. We are preparing for a robotics and AI revolution which will change our life at every level and will bring one step closer to the integration of human and machine. You will comprehensively explore the key concepts in robotics and artificial intelligence and gain knowledge essential for the implementation of robotics.
You will learn theoretical tools to describe kinematics and dynamics for industrial robot systems with several degrees of freedom as well as use cutting-edge artificial intelligence and machine learning (ML) algorithms in robots. This will guide you to learn about the software/hardware integration in robot architectures for advanced tasks (e.g. obstacle avoidance learning), industrial applications and the adoption of AI in robotics. You will progress to cover industrial tests as well as statics and dynamics of robots, dynamic modelling, and industrial control strategies. You will be equipped with a solid foundation in robotics and AI, empowered with essential theoretical knowledge and practical skills for designing, modelling, and controlling robotic systems.

Details

Contact hours

Lecture 24, PC Workshop 12, Example Class 2, Lab 3, Revision class 2

Method of assessment

2-hours worth 50%.
Lab report worth 30%.
Mini-practical + presentation (10 minutes video recording plus presentation slides) worth 20%.

Reassessment Method: Like-for-like Including composite form of reassessment for failed performance components – written report and recorded presentation. composed of practical project/task and associated report.

Indicative reading

Learning outcomes

On successfully completing the module, students will be able to: 
Analyse the kinematics, statics and kinetics of higher-order degrees of freedom robots
Critically evaluate methods of programming for the design and control of higher-order degrees of freedom robots
Apply underlying concepts and principles in tests and programming of industrial robots
Analyse the modern artificial intelligence and machine learning systems
Apply the methods and techniques of integration of Artificial Intelligence and robotics

Notes

  1. Credit level 6. Higher level module usually taken in Stage 3 of an undergraduate degree.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
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