The study of robotics includes many issues which are traditionally part of the computing sciences; distributed and adaptive control, architecture, software engineering, real-time systems, information processing and learning, mechanics and dynamics, geometrical reasoning, and artificial intelligence. Processing and mechanical functions of robots are dependent on the target platform and the world in which it is situated. A designer of an embedded computational system for sensory and motor processes needs to appreciate and understand all of these disciplines. Introduction to Robotics course is concerned with the design and analysis of basic robots. The focus will be on sensory and motor systems that interpret and manipulate their environments. In addition, we will study kinematics and dynamics, actuators, sensors, signal processing, associative memory, feedback control theory, supervised and unsupervised learning, and task planning.
Course Type | Major |
---|---|
Credit Hour | 3 |
Lecture Hour | 45 |
Biweekly Quiz, One Midterm Exam, One Final Exam, Project
Letter Grade | Marks | Grade Point |
---|---|---|
A | 90 - 100 | 4.00 |
A- | 85 - 89 | 3.70 |
B+ | 80 - 84 | 3.30 |
B | 75 - 79 | 3.00 |
B- | 70 - 74 | 2.70 |
C+ | 65 - 69 | 2.30 |
C | 60 - 64 | 2.00 |
C- | 55 - 59 | 1.70 |
D+ | 50 - 54 | 1.30 |
D | 45 - 49 | 1.00 |
F | 00 - 44 | 0.00 |