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Artificial Intelligence and Robotics

Dive into the world of artificial intelligence and robotics in this comprehensive course, covering topics like planning, AI algorithms, and robot arms. Enhance your understanding through interactive participation and engaging projects.

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Artificial Intelligence and Robotics

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  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

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