Module Specification

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Robotics and Autonomous Systems
Code ELEC430
Coordinator Dr H Lakany
Electrical Engineering and Electronics
Heba.Lakany@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2023-24 Level 7 FHEQ First Semester 15

Aims

To have a systematic understanding and critical awareness of key aspects of robotic systems and their integration into various autonomous systems applications ; understanding the concepts that underpin robotics and autonomous systems and current challenges.


Pre-requisites before taking this module (other modules and/or general educational/academic requirements):

 

Co-requisite modules:

 

Learning Outcomes

(M1) Create and evaluate custom code to operate and control a mobile robot using common frameworks in ROS/Python/C++

(M2) critically evaluate and justify the selection and use of various types of sensors on a mobile robot for different applications

(M3) design a strategy and create and implement code to safely and autonomously navigate a mobile robot in an indoor environment.

(M4) Plan and execute safe paths, coordinate navigation and monitor a mobile robot to locate and recognise objects and subjects using computer vision algorithms.

(M5) Apply and critically evaluate simple communication concepts to enable communication and interaction between two mobile robots.

(M6) A comprehensive understanding and critical evaluation of the role of robotic and autonomous systems in Industry4.0 and Industry5.0


Syllabus

 

Introduction to Industry4.0 and Industry5.0
Introduction to autonomous systems
Modelling and Control
Robot vision
Object detection
State estimation and localisation
Planning I
Planning II
Reinforcement learning


Teaching and Learning Strategies

1. Lectures
2. Laboratory sessions
3. Coursework


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours       36

  10

46
Timetable (if known)              
Private Study 0
TOTAL HOURS 46

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
             
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Navigate a mobile robot safely in an indoor environment There is a resit opportunity.  70    50       
Mobile robot detects and recognises static and moving objects and/or subjects within an indoor envirnoment. There is a resit opportunity.  70    50       

Reading List

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.