Artificial Intelligence and Robotics

1. Artificial Intelligenceand Robotics Spring 2014

2. Instructor • Marius Silaghi

3. General Introduction • CSE 5694 content • Grading • Policies

4. Objectives • To provide a grand tour of the organization of this semester’s class

5. Study • By the book • Russel&Norvig: Artificial Intelligence • By slides and hand-notes • Linked from the website of the class: www.cs.fit.edu/~msilaghi/spring_semester • Everything mentioned in class has to be retained • Write down notes of what we discuss and is not on slides!

6. CSE 5694 Topics • Introduction • Robotics Overview: The role of planning • Robotics and AI algorithms • Planning with POP • (Dynamic) Bayes Nets • Markov Chains, HMMs, POMDPs, Kalman Filters • iCreate robot, R12 arm

7. Grading Take Home exam 1 (15% each) Take Home exam 2 (15% each) Project mobile robot (15%) Project robot arm (15%) Project robot vision (15%) Attendance & Participation. 5% Paper Review 20%

8. Attendance and Participation • Attendance is taken each class, and together with participation it is worth 5% of the final grade. • You are considered absent at a lecture during which you watch a device (laptop/PDA/phone, etc.) or read a book. • Participation is a measure of your constructive involvement in the course: • asking “the right questions” • at “the right time” • being serious and non-disturbing otherwise • helping your colleagues when needed • attending office hours

9. Plagiarism • Submission of the same project by two teams corresponds to getting -50% of the points for that project (a negative score). • You get -100% if your code is found to come from the Internet

10. Have fun! • Suggestions are welcome.

11. End of General Introduction