AUTO07035 2019 Introduction to Robotics
Full Title
Introduction to Robotics
Transcript Title
Introduction to Robotics
Code
AUTO07035
Attendance
N/A %
Subject Area
AUTO - Automation
Department
MECT - Mechatronics
Level
07 - NFQ Level 7
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2019 - Full Academic Year 2019-20
End Term
9999 - The End of Time
Author(s)
David Mulligan, Mohammad Saiful Huq
Programme Membership
SG_EMTRN_B07 201900 Bachelor of Engineering in Mechatronic Engineering
SG_EMTRN_J07 201900 Bachelor of Engineering in Mechatronic Engineering (Add-on)
SG_EMECH_J07 201900 Bachelor of Engineering in Mechatronic Engineering
SG_EMECH_B07 201900 Bachelor of Engineering in Mechatronic Systems
SG_EMTRN_J07 202000 Bachelor of Engineering in Mechatronic Engineering
SG_EROBO_H08 202000 Bachelor of Engineering (Honours) in Robotics and Automation
SG_EMSYS_B07 201900 Bachelor of Engineering in Mechatronic Systems
SG_EROBO_S07 201900 Level 7 Special Purpose Award in Robotics and Industrial Communications
SG_EMECH_H08 202400 Bachelor of Engineering (Honours) in Mechatronic Systems
SG_EMTRN_J07 202300 Bachelor of Engineering in Mechatronic Engineering (Add-on)
SG_EMTRN_B07 202300 Bachelor of Engineering in Mechatronic Engineering
Description
This is an introduction to robotics that entails the mathematical modelling of robotic movement as well as the programming of key movements for the bulding and design of basic robots.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Choose and integrate hardware components for a simple robotic system.
2.
Design and synthesize simple software control systems for individual robotic joints
3.
Develop and implement mathematical models of multi-link robots to describe the relationship between individual joints and the position and velocity of the robot's end effector
4.
Apply elementary computer vision techniques to control an intelligent robot.
5.
Program simple paths and tasks on articulated robotic arm platform.
6.
Design and report development of practical robotic systems that incorporate all of the above.
Teaching and Learning Strategies
This is done through a mix of online labs, a practical assignment and lectures
Module Assessment Strategies
This is done through a mix of online labs, a practical assignment and final exam. It is a 50% FE and 50% on the practical elements.
Repeat Assessments
This is a repeat submission of the labs and reports and repeat exam paper
Indicative Syllabus
What is robot? Internal and external sensors; Actuators; Control of a single joint; Trajectories for a single joint; Transformation matrices; Forward kinematics; Inverse kinematics; Velocity and the Jacobian; Trajectory and path planning; Computer vision; Vision based control; Robot programming.
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
50 %
End of Semester / Year Formal Exam
50 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Robotic assignment | Coursework Assessment | Closed Book Exam | 30 % | End of Semester | 1,2,4,5,6 |
| 2 | Robotic MatLab Practicals | Coursework Assessment | Closed Book Exam | 20 % | End of Semester | 1,2,3,4,5,6 |
End of Semester / Year Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Final Exam | Final Exam | Closed Book Exam | 50 % | End of Semester | 2,3,4,5 |
Full Time Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Lecture | Flat Classroom | Lecture | 2 | Weekly | 2.00 |
| Practical / Laboratory | Engineering Laboratory | Robotic lab | 2 | Weekly | 2.00 |
Total Full Time Average Weekly Learner Contact Time 4.00 Hours
Online Learning Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Supervision | Online | Directed learning activities | 1 | Weekly | 1.00 |
| Practical / Laboratory | Online | Virtual Lab | 2 | Weekly | 2.00 |
| Independent Learning | Online | Independent learning | 7 | Weekly | 7.00 |
Total Online Learning Average Weekly Learner Contact Time 3.00 Hours