Study level
- PhD
Faculty/School
Faculty of Engineering
Topic status
We're looking for students to study this topic.
Supervisors
- Position
- Professor
- Division / Faculty
- Faculty of Engineering
Overview
How can robots best learn to navigate in challenging environments and execute complex tasks, such as tidying up an apartment or assist humans in their everyday domestic chores?
Often, hand-written architectures are based on complicated state machines that become intractable to design and maintain with growing task complexity. I am interested in developing learning-based approaches that are effective and efficient and scale better to complicated tasks.
Especially learning based on semantic information (such as extracted by the research in semantic SLAM above), or learning based on algorithmic priors is a fascinating research direction.
Contact
Contact the supervisor for more information.