Planning and Decision Making for Autonomous Robots

Planning safe and efficient motions for robots in complex environments, often shared with humans and other robots, is a difficult problem combining discrete and continuous mathematics, as well as probabilistic, game-theoretic, and learning aspects. This course will cover the algorithmic foundations of motion planning, with an eye to real-world implementation issues.

Objective

The students will learn how to design and implement state-of-the-art algorithms for planning the motion of robots executing challenging tasks in complex environments.

Class Information and Material

You can fing general info on the course catalogue.
We use Piazza, make sure to enter the class (151-0325-00L), all the relevant material is there.

note: Lectures begin on the 20th of Sept.