Introduction to Robotics

Robotics at its core is about giving a mechanical system enough math to know where it is, where it's going, and what forces will get it there, and this course works through that stack from rigid-body transformations and Denavit-Hartenberg parameters up through Lagrange-Euler dynamics, trajectory planning, and the sensor suite mobile robots use to localize themselves. Expect problem-heavy work: kinematics and Jacobian derivations, equation-of-motion hand calculations, a couple of mini-projects, and two written exams anchoring a midterm/final structure. It leans on your linear algebra and dynamics background and is the natural gateway into control, computer vision, and autonomous systems electives, where the manipulator and mobile-robot abstractions you build here become the substrate everything else sits on.