Introductory description

This module introduces the students to the technologies enabling mobile robots to navigate autonomously. It includes locomotion methods such as wheeled and legged, along with probabilistic algorithms used for path planning and decision-making in uncertain environments. Also the integration of sensors for navigation and mapping, and Simultaneous Localization and Mapping (SLAM).
When this module is delivered on any overseas programme, it is delivered in a 2-weeks block rather than over 4 weeks.

Module aims

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Locomotion of mobile robots
Probabilistic robotics
Sensor fusion
Simultaneous Localization And Mapping (SLAM)
Autonomous decision-making in service robots

Learning outcomes

By the end of the module, students should be able to:

• Critique locomotion techniques for autonomous robots for various environments .
• Apply conceptual probabilistic robotics, including path planning, uncertainty, and sensor fusion for autonomous navigation .
• Independently select and integrate sensors into autonomous systems to enable navigation, mapping, and environmental interaction .
• Implement Simultaneous Localisation And Mapping (SLAM) for real-time mapping and localisation in dynamic unpredictable environments.

Indicative reading list

Reading lists can be found in Talis

Specific reading list for the module

Subject specific skills

Analysis and design of mobile robot systems
Simulation of wheeled mobile robots

Transferable skills

Problem solving
Critical thinking
Team working