Module Details

Module Code: SYST C4604
Module Title: Autonomous Robotics
Title: Autonomous Robotics
Module Level:: 8
Credits:: 5
Module Coordinator: Frances Hardiman
Module Author:: Stephen Scully
Domains:  
Module Description: The aim of this module is to develop an in-depth understanding and insight to enable selection and development of suitable algorithms and techniques for problem statement, solution-based robot design, safely and ethically as used in automated processes across a range of industrial applications.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Design and implement motion control for robotics.
LO2 Design, plan and implement robotic navigation systems.
LO3 Design and implement localization systems.
LO4 Apply probabilistic estimation techniques to mapping.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
 
Indicative Content
Motion Control
Definition of a robot. Motion and control of a robot: move, follow, avoid.
Navigation
Sensors: position, velocity, distance, vision. Reactive: Braitenberg vehicles. The distance transform.
Localisation
Dead reckoning and map-based localization.
Mapping
Introduction to probabilistic estimation: Pose estimation. Localization and Mapping
Module Content & Assessment
Assessment Breakdown%
Project20.00%
Practical20.00%
End of Module Formal Examination60.00%

Assessments

Full Time

No Continuous Assessment
Project
Assessment Type Project % of Total Mark 20
Timing n/a Learning Outcomes 4
Non-marked No
Assessment Description
A group/solo (depending on complexity) project based on real-world scenarios.
Practical
Assessment Type Practical/Skills Evaluation % of Total Mark 20
Timing n/a Learning Outcomes 1,2,3,4
Non-marked No
Assessment Description
A set of practical exercises to complement the theory elements of the module.
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 60
Timing End-of-Semester Learning Outcomes 1,2,3
Non-marked No
Assessment Description
A final exam to assess the students' learning.

Part Time

No Continuous Assessment
Project
Assessment Type Project % of Total Mark 20
Timing n/a Learning Outcomes 4
Non-marked No
Assessment Description
A group/solo (depending on complexity) project based on real-world scenarios.
Practical
Assessment Type Practical/Skills Evaluation % of Total Mark 20
Timing n/a Learning Outcomes 1,2,3,4
Non-marked No
Assessment Description
A set of practical exercises to complement the theory elements of the module.
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 60
Timing End-of-Semester Learning Outcomes 1,2,3
Non-marked No
Assessment Description
n/a
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Category Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact No Description Every Week 1.00 1
Laboratory Contact No Description Every Week 4.00 4
Independent Learning Time Non Contact No Description Every Week 4.00 4
Total Weekly Contact Hours 5.00
 
Module Resources
Recommended Book Resources
  • Peter Corke. (2011), Robotics, Vision and Control.
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: