This article is about the subject code MR3711 – Robotics And Machine Vision Laboratory Syllabus from Anna University based on regulation 2021 relating to affiliated institutions awarding B.E Mechatronics Engineering semester VII subjects. Let’s see…
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If you want to know more about the syllabus of B.E Mechatronics Engineering connected to an affiliated institution’s four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E. Mechatronics Engineering Syllabus Regulation 2021 Anna University.
Aim Of Concept:
1. To introduce different types of robotics and demonstrate them to identify different parts and components.
2. To write programming for simple operations.
3. To gather the practical exposure on machine vision elements, lighting technique, processing softwares and algorithms.
MR3711 – Robotics And Machine Vision Laboratory Syllabus
List Of Experiments
Robotics Laboratory
- Determination of maximum and minimum position of links.
- Verification of transformation (Position and orientation) with respect to gripper and world coordinate system
- Estimation of accuracy, repeatability and resolution.
- Robot programming and simulation for pick and place
- Robot programming and simulation for Colour identification
- Robot programming and simulation for Shape identification
- Robot programming and simulation for machining (cutting, welding)
- Robot programming and simulation for writing practice
- Robot programming and simulation for any industrial process (Packaging, Assembly)
- Robot programming and simulation for multi process.
(Any 6 experiments)
Machine Vision Laboratory
- Study on different kinds of vision sensors.
- Study on lighting techniques for machine vision
- Study on Design of Machine Vision System.
- Experimentation on image acquisition towards the computation platform.
- Pre-processing techniques in image processing
- Edge detection and region of interest extraction.
- Experimentation with image processing algorithm for feature extraction.
- Experimentation with pattern recognition.
- Vision based pallet inspection.
- Vision based Gear parameter measurement.
- Vision based classification of objects.
(Any 6 experiments)
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