Grading, Ranking, Project

Lectures: Monday and Friday 11:30-12:50 (room New-3)

Office: in LIBERTY Lab for Robotics and Embedded Systems (New Block - ground floor).

Course Outline:

1. Introduction
2. Mathematical Foundations
3. Kinematic modeling of wheel-driven mobile robots
4. Modeling of flying robots
5. Bayes Rule and Particle Filters
6. Environment Mapping
7. Localization
8. SLAM
9. Motion Planning
10. Path Planning
11. Navigation, Path following and Collision avoidance
12. Exploration
13. Robot Vision

Reference Texts:

• Handbook of Robotics, Siciliano, Bruno; Khatib, Oussama. Springer. (Ch 1,17,44,46 and Part C & E)
• Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard, Dieter Fox, MIT Press.
• Introduction to Robotics, Ph. J. McKerrow, Addison-Wesley

Assessment

Project: 10

Quizzes & Assignments: 20

Midterm 25

Final: 45

• Assignment-2
• Lecture slides present at: \\xeon\Faculty\Dr. Yasir Niaz\Teaching\MobileRobots2014