500 Level Courses
ROB 501. Mathematics for Robotics
Prerequisite: graduate standing or permission of instructor. Advisory: differential equations and matrix algebra recommended. (3 credits)
Applied mathematics for robotics engineers. Topics include vector spaces, orthogonal bases, projection theorem, least squares, matrix factorizations, Kalman filter and extensions, particle filters, underlying probabilistic concepts, norms, convergent sequences, contraction mappings, Newton Raphson algorithm, nonlinear constrained optimization, local vs global convergence, convexity, linear and quadratic programs, and randomized search strategies.
ROB 550. Robotic Systems Laboratory
Prerequisite: graduate standing or permission of instructor. (4 credits)
Multidisciplinary laboratory course with exposures to sensing, reasoning, and acting for physically-embodied systems. Intro to kinematics, localization and mapping, planning, control, user interfaces. Design, build, integration, and test of mechanical, electrical, and software systems. Projects based on a series of robotic platforms: manipulators, mobile robots, aerial or underwater vehicles.
ROB 590. Directed Study
Prerequisite: Permission of instructor. (1-6 credits)
Individual study of specialized aspects of robotics. Graduate students only.
ROB 599. Special Topics in Robotics
Advised prerequisite: Graduate standing or permission of instructor. (1-6 credits)
Special topics in Robotics.
900 Level Courses
ROB 990. Dissertation/Pre-Candidate
Prerequisite: None. (1-8 credits)
Dissertation work by doctoral student not yet admitted to status as candidate. The defense of the dissertation, that is, the final oral examination, must be held under a full-term candidacy enrollment.
ROB 995. Dissertation/Candidate
Prerequisite: Doctoral candidacy. (8 credits); (4 credits)
Election for dissertation work by a doctoral student who has been admitted to candidate status. The defense of the dissertation, that is, the final oral examination, must be held under a full-term candidacy enrollment.