Intelligent Robotics and Perceptionoverview | logistics | organization | schedule | announcements | labs | hackpad | resources
Lecture: Tuesday & Thursday 8:30am-9:50 am (RKC 107)
Office Hours: Tuesday, Wednesday & Thursday 11am-12pm and by appointment
- Introduction to Autonomous Mobile Robots. Siegwart and Nourbakhsh. MIT Press. 2011. Available at amazon.
- Probabilistic Robotics. Thrun, Burgard, and Fox. MIT Press. 2005. Available at amazon.
- Planning Algorithms. LaValle. Cambridge University Press. 2006. Available at amazon and online.
- Principles of Robot Motion: Theory, Algorithms, and Implementations. Choset, Lynch, Hutchinson, Kantor, Burgard, Kavraki, Thrun. Bradford. 2005. Available at amazon.
- Labs (40%): Substantial programming assignments.
- Project (30%): Team project worked on for approximately 2/3
of the term.
- Proposal (2%): What? Why? Who?
- Development Plan (4%): Who? When?
- Status Report (8%): How?
- Final Report & Demonstration (16%)
- Quizzes (20%): Pen-and-paper work given every week.
- Presentation (10%): Oral presentation on a robot case study.
- Attend class.
- Be on time.
- Come to class prepared. We'll rely on both the textbook and various research papers for this class, make sure to have the required reading done BEFORE class.
- Complete all assignments, and start early.
- Cooperate, but don't copy.
- Credit work, including all sources you used from the web, other books, etc.
- Sharing ideas is encouraged, but blatantly copying work without attribution will be treated as scholastic dishonesty and receive no credit.