CSDLO7033: Robotics Syllabus for CS 7th Sem 2019 Pattern Mumbai University (Department Level Optional Course-3)

Robotics detailed syllabus scheme for Computer Engineering (CS), 2019 regulation has been taken from the MU official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.

For 7th Sem Scheme of Computer Engineering (CS), 2019 Pattern, do visit CS 7th Sem Scheme, 2019 Pattern. For the Department Level Optional Course-3 scheme of 7th Sem 2019 regulation, refer to CS 7th Sem Department Level Optional Course-3 Scheme 2019 Pattern. The detail syllabus for robotics is as follows.

Robotics Syllabus for Computer Engineering BE 7th Sem 2019 Pattern Mumbai University

Course Objectives:

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Course Outcomes:

On successful completion of course learner will be able to:

1. Describe typical robot and its characteristics.
2. Analyse kinematics parameters of robotic manipulator.
3. Identify actuators, sensors and control of a robot for different applications.
4. Design task plan and motion for a robot.
5. Apply Robotics to solve day to day problems using vision algorithms.
6. Use robot programming languages and acquire skills to program robots.

Prerequisites:

Mathematical concepts of Geometry, Matrices Algebra, knowledge of Basic Electronics.

Module 1

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Module 2

Direct and Inverse Kinematics 08

1. Direct (Forward) Kinematics: Homogeneous coordinates, Link coordinates, Coordinate frame, coordinate transform, Arm equations, An example – Four Axis SCARA.
2. Inverse Kinematics: Inverse kinematics problem, Tool Configuration, An example – Four Axis SCARA.

Sensors, Actuators and Drive Systems 08

Module 3

1. Sensors: Characteristics, Utilization, Types – Position, Velocity, Acceleration, Force and Pressure, Torque, Visible Light and Infrared, Touch and Tactile, Proximity, Range Finders sensors.
2. Actuators and Drive System: Characteristics, Hydraulic Actuators, Pneumatic Devices, Electric Motors

Module 4

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Module 5

Robot Vision 10

1. Image Representation, Template Matching, Polyhedral Objects
2. Shape Analysis, Iterative Processing
3. Perspective Transformations, Structured Illumination , Camera Calibration

Module 6

Expert Systems, Robot Language and Fuzzy Logic 12

1. Introduction to Expert Systems, Expert system Characteristics, Robot as a Expert System, Robot Languages: Classification of Robot Languages, Computer Control and Robot Software, VAL System, and Language.
2. Introduction, Fuzzy set, Fuzzification, Fuzzy Inference Rule Base, Defuzzification, Applications of Fuzzy Logic in Robotics.

Text Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Reference Books:

1. Robotics – Control, Sensing, Vision, and Intelligence by K. S. Fu, R. C. Gonzalez, C. S. G. Lee, Tata McGraw Hill
2. Principles of Robot Motion – Theory, Algorithms and Implementation by Howie Choset, Lynch, PHI
3. Introduction to Fuzzy Logic using Matlab,By: S.N.Sivanandam,S.N.Deepa,P Sumathi , Springer Publications

Assessment

Internal Assessment: Assessment consists of two class tests of 20 marks each. The first class test is to be conducted when approx. 40% syllabus is completed and second class test when additional 40% syllabus is completed. Duration of each test shall be one hour. End Semester Theory Examination:

1. Question paper will comprise of 6 questions, each carrying 20 marks.
2. The students need to solve total 4 questions.
3. Question No.1 will be compulsory and based on entire syllabus.
4. Remaining question (Q.2 to Q.6) will be selected from all the modules.

Term Work : The distribution of marks for term work shall be as follows:

• Programming Exercises: (10) Marks.
• Mini project: (10) Marks.
• Attendance (Theory & Practical. (05) Marks.

TOTAL: (25) Marks.

Suggested List of Experiments:

1. Representation of Various Robots and there all Specification (Study Experiment)
2. Co-ordinate Transform of a Robot
3. Fundamental Rotation
4. Composite Rotation
5. BFS and DFS
6. Homogeneous Rotation
7. Run Length Encoding
8. Shrink and swell Operator
9. BUG1 Algorithm
10. Bug2 Algorithm
11. Tangent Bug Algorithm
12. Edge detection algorithm
13. Case Study of CNC Machine
14. Designing a Robot Manipulator for Pre defined Task

Students can perform experiments based on Theory Syllabus or any 12 experiments from above list of experiments or experiments framed by teachers. The Experiments for this course are required to be performed and to be evaluated in Computational Lab-1.

For detail Syllabus of all subjects of Computer Engineering (CS) 7th Sem 2019 regulation, visit CS 7th Sem Subjects of 2019 Pattern.