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Graduate Course Proposal Form Submission Detail - CIS6451
Tracking Number - 1816

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Current Status: Approved, Permanent Archive - 2006-01-15
Campus:
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Course Change Information (for course changes only):
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Detail Information

  1. Date & Time Submitted: 2005-10-23
  2. Department: CSE
  3. College: EN
  4. Budget Account Number: 2108-
  5. Contact Person: KIMON VALAVANIS
  6. Phone: 46564
  7. Email: kvalavan@cse.usf.edu
  8. Prefix: CIS
  9. Number: 6451
  10. Full Title: Advanced Robotic Systems
  11. Credit Hours: 3
  12. Section Type: C - Class Lecture (Primarily)
  13. Is the course title variable?: N
  14. Is a permit required for registration?: N
  15. Are the credit hours variable?: N
  16. Is this course repeatable?:
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): Advanced Robotic Systems
  19. Course Online?: -
  20. Percentage Online:
  21. Grading Option: R - Regular
  22. Prerequisites: CONTROL SYSTEMS, INTRO TO ROBOTICS, MATLAB
  23. Corequisites: N/A
  24. Course Description: Unmanned ground, aerial and underwater robots. Modeling, kinematics dynamics and control; navigation and collision avoidance; sensor fusion; vision-based navigation; sensor fault detection and isolation; system architectures and robot swarms.

  25. Please briefly explain why it is necessary and/or desirable to add this course: Need to cover "robotic systems" as opposed to single robots; Need to study aerial and underwater robots; need to study vehicle formations. essential to understand real-time multi sensor navigation and control.
  26. What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? Course can be offered across Engineering (EE. Mech Eng., CSE. Ind. Eng.) even Math and Physics. Everystudent focusing on Robotics must register for AI Robotics 1st course) and this proposed one. Alternatively, Mech. Eng. robotics course, then this proposed one.
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, twice in the past.
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) PhD in EE / CSE / ME or other related field.

    Understanding of Robotics

    Active researcher in the area

  29. Objectives: Study robotic "systems" / "vehicles" and in particular unmanned vehicles.

    Understand control and vavigation, coordination and collaboration and formation.

    Understand sensor fusion and communication issues; integration.

  30. Learning Outcomes: Knowledge of robot vehicles (as opposed to manipulators)

    Ability to model and control unmanned vehicles

    Ability to understand robot swarms / formation

  31. Major Topics: Modeling, kinematics dynamics and control; sensor based navigation and collision avoidance; sensor fusion; SLAM; vision-based navigation; sensor fault detection and isolation; integration, system architectures and robot swarms.
  32. Textbooks: Software Enabled Control, Edited by T. Samad and G. Balas, IEEE Press - J. Wiley, 2003.
  33. Course Readings, Online Resources, and Other Purchases:
  34. Student Expectations/Requirements and Grading Policy:
  35. Assignments, Exams and Tests:
  36. Attendance Policy:
  37. Policy on Make-up Work:
  38. Program This Course Supports:
  39. Course Concurrence Information:


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