MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MCH4307 Introduction to Robotics and Biomechanics Fall 2 2 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: E-Learning
Course Coordinator : Assoc. Prof. MEHMET BERKE GÜR
Course Lecturer(s): Dr. Öğr. Üyesi EMEL DEMİRCAN
Course Objectives: The goal of this course to teach the fundamentals in robotics and human biomechanics for the modeling, simulation, and control of multi-body articulated systems; to give the knowledge of technologies used in movement modeling, sensing, and control; to define basic concepts in robotics and biomechanics. Focus given on the definitions, the concepts, and the methodologies used in multi-disciplinary research at the intersection between robotics and human biomechanics. The course presents the current and possible future applications of human movement study in robotics, orthopeadics, sports medicine, biomechanics, and computer animation.

Learning Outputs

The students who have succeeded in this course;
I. Describe basic concepts of kinematic model, spatial descriptions, and manipulator kinematics
II. Define the Jacobian matrix, generalized coordinates, Euler Angles, Laplace Formulation
III. Describe the task-level and biomechanical simulation
IV. Define the sensing and tracking systems in robotics and biomechanics
V. Describe basic concepts of musculoskeletal geometry, multi-body dynamics, and articulated body model
VI. Describe muscle physiology, muscle mechanics, and muscle force production
VII. Define the concept of inverse kinematics
VIII. Define the concept of task-space control, human motion control and human motion reconstruction

Course Content

Introduction and Motivation, Spatial descriptions (Euler angles, cosines) Newton - Euler algorithm, Forward kinematics, Inverse kinematics , joint space, manipulator workspace, Modeling, scaling, definitions (body, joint, tree like branching structure) , muscle moment arm, musculo-skeletal geometry, Forward / inverse dynamics, Muscle physiology and mechanics, muscle parameters, force and torque production, Conventional and advanced motion sensing and capture systems , Operational space control, introduction to simulators (task-level , bio mechanical), Production of human movement: from brain excitation to joint space accelerations, Human motion control and reconstruction, Human motion synthesis and analysis using robotics and biomechanics, Applications in Robotics Rehabilitation, Motion Training, Ergonomics, Physical Therapy, and Computer Animation

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction and Motivation
2) Spatial Descriptions, Rigid Body Configuration, Manipulator Kinematics, Generalized Coordinates
3) Kinematics, Kinematic Model, Jacobian Matrix
4) Ters Kinematik
5) Musculoskeletal Modeling, Multi-body Dynamics, Musculoskeletal Geometry
6) Articulated Body Model and Dynamics
7) Muscle Physiology and Mechanics, Mechanical Properties of Muscle and Tendon
8) Motion Capture Systems, Force Plates, Electromyography, Inertial Systems
9) Task-level and Biomechanical Simulation
10) Production of Human Movement
11) Task-Space Control, Human Motion Control and Reconstruction
12) Advanced Topics I: Human Motion Characterization
13) Advanced Topics II: Applications in Robotics Rehabilitation, Motion Training, Ergonomics, Physical Therapy, and Computer Animation
14) Course Review

Sources

Course Notes: Skeletal Muscle Structure, Function, and Plasticity, R. L. Lieber, 2009, ISBN-10: 0781775930
References: YOK

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 0 % 0
Laboratory 4 % 20
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 5 % 15
Presentation 0 % 0
Project 0 % 0
Seminar 0 % 0
Midterms 1 % 25
Preliminary Jury 0 % 0
Final 1 % 40
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Laboratory 13 2 26
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 7 98
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 0 0 0
Paper Submission 0 0 0
Jury 0 0 0
Final 0 0 0
Total Workload 152

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution