Advanced Robotics: Manipulation Algorithms (CSE 599)
Instructor
TA
Aditya Mandalika (adityavk AT cs.uw.edu)
Lectures
MW 3:00 - 4:20 PM, MGH 295
Description
At the crossroads of robotics, artificial intelligence and algorithms, this graduate level course delves into the theory and algorithms that enable robots to physically interact with and manipulate their environment. We will begin with a primer on the representation of the planning problem, and the geometry of manipulation configuration space. We will then discuss state-of-the-art search and motion planning algorithms, their theoretical guarantees, and their computational requirements and limitations. You will also learn how to address clutter and uncertainty in manipulation tasks.
In practice, planning problems necessitate the application of a mix of algorithms. By the end of this class, you will learn to describe, compare, and systematically choose the set of algorithms that best solve the planning problem presented.
Evaluation
Grading will be based on homework assignments and class participation. The assignments will be designed in Python.
Important Dates
- September 27 - No class
- October 2 - Classes begin
- October 11 - HW1 released
- October 25 - HW1 due, HW2 released
- November 13 - HW2 due
- November 15 - HW3 released
- December 15 - HW3 due
Resources
All resources are posted on Canvas.