1. Artificial Intelligence and 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. Paired Programming Some assignments require programming You are allowed and encouraged to work in pairs A pair of students is not allowed to collaborate more than once! Each collaboration should be declared by adding a special file to the submission, where you state the name of the student with which you collaborate. If the same pair of students cooperates on more than one project, only the first (in lexicographic order) of the two students gets credit for the subsequent projects. Submissions are allowed only via the submit server. No late submissions accepted.

10. 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

11. Have fun! Suggestions are welcome.

12. End of General Introduction