MEC3102 : Robotics and Automation
- Offered for Year: 2017/18
- Module Leader(s): Dr Michael Lau
- Owning School: Engineering
- Teaching Location: Singapore
|Semester 2 Credit Value:||15|
This module aims to equip students with a knowledge and understanding of robotic and industrial automation principles and other key components which make up robotic systems. This will enable them to best specify and apply robotic systems to industrial applications.
Outline Of Syllabus
- History of robotics - definitions and standard configurations.
- Design of robot manipulators, and controller architectures.
- Kinematics and dynamics of robots.
- Trajectory control, on-line and off-line programming methods, modelling and simulation.
- Sensor controlled robots - vision systems, tactile and force sensing.
- Compliant motion control - impedance and hybrid control.
- Task planning, work-cell integration and communication, safety issues.
- Design of mobile robots and their control system architectures
- Navigation, path planning and obstacle avoidance methodologies
- Sensors for navigation and obstacle avoidance, including sonar arrays, laser and vision based systems
- Application of robots in industry, i.e handling, welding, assembly, mobile vehicles.
|Guided Independent Study||Assessment preparation and completion||1||2:00||2:00||End of Semester examination.|
|Guided Independent Study||Assessment preparation and completion||20||0:30||10:00||Recommended revision for exams, assuming prior regular independent study throughout teaching|
|Guided Independent Study||Assessment preparation and completion||1||10:00||10:00||Target non-timetable hours to complete coursework assignment submission|
|Scheduled Learning And Teaching Activities||Lecture||13||2:00||26:00||Structured presentation of syllabus may include skills demonstration, formative feedback, etc|
|Scheduled Learning And Teaching Activities||Practical||2||6:00||12:00||Extended activity (laboratory) to apply taught material, develop professional skills|
|Scheduled Learning And Teaching Activities||Small group teaching||10||1:00||10:00||Problem classes (“tutorials”) to support independent study and reinforce skills practise|
|Guided Independent Study||Independent study||1||80:00||80:00||Recommended regular personal study throughout teaching period to follow up taught classes|
Teaching Rationale And Relationship
Lectures convey the underlying engineering science and the approaches required to apply this to the discipline-specific problems identified.
Tutorials support the students' self study in reading around the lecture material and learning to solve the practical engineering problems posed by the Tutorial Questions.
Practicals support, by illustration, the lecture and tutorial material and enable Assignment work to be planned and developed.
The assignment ensures that students are able to apply their learning.
The format of resits will be determined by the Board of Examiners
|Report||2||M||20||Mobile Robot Modelling Assignments Using MATLAB|
Assessment Rationale And Relationship
Examination is an appropriate way to assess both theoretical understanding and practical problem solving skills under time-constraint as required in industry.
Assignments enables a more realistic engineering problem to be set and may also assess data acquisition and software use skills. It may draw on work done in laboratory practical sessions.
In order to obtain a passing mark overall for this module (40%) at the first attempt the minimum acceptable mark for each of the assessment items specified below shall be 30%, with the maximum possible module overall mark where this is not the case being restricted to 35% (Undergraduate Progress Regulations 30):
(1) 60% written examination
(2) 40% coursework assignment
- Reading List Website : rlo.ncl.ac.uk