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MM4015 | Robot and Its Kinematics | 3+0+0 | ECTS:6 | Year / Semester | Fall Semester | Level of Course | First Cycle | Status | Elective | Department | DEPARTMENT of MECHANICAL ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Dr. Öğr. Üyesi Caner SANCAK | Co-Lecturer | - | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | Presentation of robot kinematics and control strategy using pic and plc programming techniques, Investigate actuators and sensors systems. Develop solutions for forward kinematics problems. |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | Utilize the principles of geometry to derive models for the forward and inverse kinematics of a manipulator. | 1,3 | 1,6, | LO - 2 : | Understand the dynamics of a manipulator. | 1,3 | 1,6 | LO - 3 : | Implement several simple robot control laws for robots. | 1,3 | 1,6 | LO - 4 : | Understand micro-controller programming techniques. | 1,3 | 6, | LO - 5 : | Gain the ability to perform velocity analysis and motion planning in robots. | 1,3 | 1,6, | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | |
Kinematic structure of robot arms, classification of manipulators, robot arm drivers, and sensor elements. Rotation matrix and homogeneous transformation, creation of rotation matrix. Forward kinematic solutions of robots, Denavit-Hartenberg representation, inverse kinematic solutions, velocity analysis. and movement planning. Micro-controller programming and application for robot control. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Introduction and Historic
| | Week 2 | Manipulator kinematic structures
| | Week 3 | Classification of robot manipulator
| | Week 4 | Rotation matrices, Composition of Rotations and Homogeneous transformations
| | Week 5 | Rotation matrices, Composition of Rotations and Homogeneous transformations (continue)
| | Week 6 | Forward kinematics of serial robots ve Denavit-Hartenberg representation
| | Week 7 | Denavit-Hartenberg representation (continue)
| | Week 8 | Workspace of robots | | Week 9 | Mid-term exam
| | Week 10 | Robot sensory systems
| | Week 11 | Microcontroller programming and automation
| | Week 12 | Microcontroller programming and automation (continue)
| | Week 13 | Inverse kinematics of serial robots
| | Week 14 | Derivation of Jacobian matrix of robots
| | Week 15 | Motion planning methods for robots
| | Week 16 | End-of-term exam | | |
1 | Spong M.W., Vıdyasagar M., 1989, Robot Dynamics and Control, John Wiley and Sons, Inc., USA | | 2 | Z. Bingül, S. Küçük, Robot Kinematiği, Birsen Yayınevi, 2009. | | |
1 | Wolovich W.A.,1987, ROBOTICS: Basic Analysis and Design, CBS College Publishing, USA | | 2 | Arvas M. A.., 2019, Projeler Eşliğinde Arduino ile Robotik Programlama Sensörler ? Veri İletişimi ? Wifi, Bluetooth, IR, Seçkin Yayıncılık., İstanbul | | 3 | Çetinkaya K., 2003, PLC Kullanım ve Programlama, Özdisan A.Ş., İstanbul | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 28/11/2023 | 1,5 | 25 | Project | 14 | 08/01/2024 | 10 | 25 | End-of-term exam | 16 | 15/01/2024 | 1,5 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Sınıf dışı çalışma | 1 | 7 | 7 | Laboratuar çalışması | 1 | 12 | 12 | Arasınav için hazırlık | 1 | 8 | 8 | Arasınav | 1 | 1 | 1 | Proje | 1 | 10 | 10 | Dönem sonu sınavı için hazırlık | 1 | 6 | 6 | Dönem sonu sınavı | 2 | 2 | 4 | Total work load | | | 90 |
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