Mobile Manipulators are robotic systems that are capable of navigating through and interacting with unstructured environments in order to perform a wide range of tasks. Designing control systems for this domain is a non-trivial process, due in part to the complexities of constructing and manipulating flexible and extensible representations of the environment, motor action and task. In this course, we will study the representation, learning, planning and control techniques that are currently driving this field forward. |
When: T/Th 3-4:15
Where: One Partner's Place, Alpha Room (2nd floor conference room #2800) and the Artificial Intelligence and Robotics Lab (Suite #2600)
Students need to have a solid background in C++ and/or python (or an ability to learn quickly) and mathematics (linear algebra, calculus, probability and statistics). Useful background includes: artificial intelligence, machine learning and robotics.
Last modified: Wed Jan 18 14:57:33 2017