- Department: Computer Science
- Module co-ordinator: Dr. Alan Millard
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2024-25
- See module specification for other years: 2023-24
|Semester 1 2024-25
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
Describe the degrees of autonomy that robotic systems can achieve
Critically analyse the safety considerations and ethical implications of the design, implementation, and deployment of autonomous robotic system
Explain methodological principles for engineering autonomous robotic systems
Demonstrate an understanding of modern robotics middleware and its application
Implement an autonomous robotic solution for a predefined problem
Critically analyse the strengths and weaknesses of an implemented autonomous robotic solution
|% of module mark
Coursework : Individual Open Assessment
|% of module mark
Individual Open Resubmission Essay : Individual Open Reassessment
Feedback is provided throughout the sessions, and after the assessment as per normal University guidelines.
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.