{"id":18092,"date":"2019-12-10T04:35:07","date_gmt":"2019-12-10T04:35:07","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/robotics-and-machine-vision-system-mechatronics-7th-sem-syllabus-for-be-2017-regulation-anna-univ\/"},"modified":"2019-12-10T04:35:07","modified_gmt":"2019-12-10T04:35:07","slug":"robotics-and-machine-vision-system-mechatronics-7th-sem-syllabus-for-be-2017-regulation-anna-univ","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/robotics-and-machine-vision-system-mechatronics-7th-sem-syllabus-for-be-2017-regulation-anna-univ\/","title":{"rendered":"Robotics and Machine VIsion System Mechatronics 7th Sem Syllabus for BE 2017 Regulation Anna Univ"},"content":{"rendered":"

Robotics and Machine VIsion System detail syllabus for Mechatronics Engineering (Mechatronics), 2017 regulation is taken from Anna University<\/a> official website and presented for students of Anna University. The details of the course are: course code (MT8701), Category (PC), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n

For all other mechatronics 7th sem syllabus for be 2017 regulation anna univ you can visit Mechatronics 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. The detail syllabus for robotics and machine vision system is as follows.”<\/p>\n

Course Objective:<\/h4>\n

Students will learn about basics of robots, programming and machine vision applications in robots\n<\/p>\n

Unit I<\/h4>\n

For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

Unit II<\/h4>\n

Robot End Effectors<\/strong>
\nRobot End effectors: Introduction- types of End effectors- Mechanical gripper- types of gripper mechanism- gripper force analysis- other types of gripper- special purpose grippers.\n<\/p>\n

Unit III<\/h4>\n

Robot Mechanics<\/strong>
\nRobot kinematics: Introduction- Matrix representation- rigid motion and homogeneous transformationforward and inverse kinematics- trajectory planning. Robot Dynamics: Introduction – Manipulator dynamics -Lagrange – Euler formulation- Newton – Euler formulation\n<\/p>\n

Unit IV<\/h4>\n

For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

Unit V<\/h4>\n

Machine Vision Fundamentals<\/strong>
\nMachine vision: image acquisition, digital images-sampling and quantization-levels of computation Feature extraction-windowing technique- segmentation- Thresholding- edge detection- binary morphology – grey morphology\n<\/p>\n

Course Outcome:<\/h4>\n

Upon completion of this course, the students can able to<\/p>\n