Autonomous Robotic Systems Engineering - COM00052H

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  • Department: Computer Science
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2025-26

Module will run

Occurrence Teaching period
A Semester 1 2025-26

Module aims

This module will introduce students to the theoretical concepts and practical skills required to engineer autonomous robotic systems. It will cover fundamental aspects of sensors/actuators and control systems, then build upon this foundation with high-level algorithms for autonomous localisation, mapping, navigation, and multi-robot coordination. This module will also explore safety considerations and ethical implications of the design, implementation, and deployment of autonomous robotic systems.

Module learning outcomes

  1. Describe the degrees of autonomy that robotic systems can achieve

  2. Discuss the safety considerations and ethical implications of the design, implementation, and deployment of autonomous robotic systems

  3. Explain methodological principles for engineering autonomous robotic systems

  4. Demonstrate an understanding of modern robotics middleware and its application

  5. Implement an autonomous robotic solution for a predefined problem

  6. Discuss the strengths and weaknesses of an implemented autonomous robotic solution

Indicative assessment

Task % of module mark
Essay/coursework 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Essay/coursework 100

Module feedback

Feedback is provided throughout the sessions, and after the assessment as per normal University guidelines.

Indicative reading

Correll, Nikolaus, et al. Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms. MIT Press, 2022.

Herath, Damith, and David St-Onge. Foundations of Robotics: A Multidisciplinary Approach with Python and ROS. Springer Nature Singapore, 2022.