Modules

Core Module Information
Module title: Applied Robotics GA
SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: MEC10400
Module leader: Simon Smith Bize
School School of Computing, Engineering and the Built Environment
Subject area group: Engineering and Mathematics
Prerequisites

Requisites: AND Pre-requisite: Experience of advanced control system design AND Pre-requisite: [Module MEC08406] Control Measurement and Instrumentation
Description of module content:

This module explores automation and robotics in industry. This module covers the kinematics modeling of robotic arms and the application of different controllers to robotic arms. The module also includes the use of industry-level programming tools and simulators, as well as the control of physical robots. Students will engage with both physical and simulated robots to solve manipulation and navigation tasks in industrial settings. Practical sessions will utilize Siemens Melfa Basic, Festo Infodicatic graphical language, and MATLAB to provide hands-on experience.
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Demonstrate a critical understanding of the operation of industrial robots and Critically evaluate robots for particular applications

LO2: Evaluate mathematical principles for modeling robotic arm dynamics and kinematics, and design control algorithms to optimize performance.

LO3: Analyse particular industrial applications and evaluate possible solutions in terms of automated (dedicated / flexible) or mixed manual/ automated systems.

LO4: Design flexible and dedicated automatic systems.
Full Details of Teaching and Assessment
2024/5, Trimester 1, Blended,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: Blended
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: Simon Smith Bize
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face Centrally Time Tabled Examination 3 Individual written exam covering the Learning Outcomes of the module.
Online Guided independent study 155 Guided independent study of the material, references and access to the laboratory outside practical sessions.
Face To Face Lecture 22 Classroom lectures covering new material for all Learning Outcomes.
Face To Face Practical classes and workshops 20 Practical sessions in the laboratory, including industry-grade mobile and manipulator robots to be programmed by the student.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Project - Practical 60 3~4 Week 13 HOURS= 1000word/10mins Group work implementing a solution for an industrial robotic task designing and programming the solution on the simulated and physical robots [M1, M3, M12, M16]. The task includes the use and selection of industrial standards for robot operation and software design [M5, M13]. The solution must comply with safety standards in mechanical and software safety [M10]. Assessment includes a 10 minutes video demonstrating the system and its use cases [60%]. Short report of maximum 1000 words [40%] including explanation of the algorithms.
Centrally Time Tabled Examination 40 1~2~3~4 Exam Period HOURS= 3 hours The exam covers a number of topics including the use of engineering principle equations for the mathematical modeling/control of Robotic systems, including system modeling and system control[M1, M2, M3]. Different control algorithms and their limitations for the robotic arm will be examined[M1, M2, M3]. The exam also covers fundamental knowledge of robotic classification and orientation [M1, M2, M3, M13]. The exam covers the design of solutions and understanding of the theory of robotics using and choosing sensors, actuators and control in industrial standards [M3, M5].
Component 1 subtotal: 60
Component 2 subtotal: 40
Module subtotal: 100

Indicative References and Reading List - URL:
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