Description
This course covers fundamental problems and leading solutions to autonomous robot navigation – what and how must a robot perceive the world, and how can it use that information to navigate effectively.
The only formal prerequisite is CS1332 Data Structures & Algorithms. Prior knowledge of fundamentals of linear algebra and probability is helpful, but not required. Background in AI and Machine Learning is not assumed.
The course requires access to a laptop and a mobile device (cell phone or tablet) running Android or iOS. If you don’t have access to these, please contact the instructor ASAP. All programming assignments will be completed in Python.
The only formal prerequisite is CS1332 Data Structures & Algorithms. Prior knowledge of fundamentals of linear algebra and probability is helpful, but not required. Background in AI and Machine Learning is not assumed.
The course requires access to a laptop and a mobile device (cell phone or tablet) running Android or iOS. If you don’t have access to these, please contact the instructor ASAP. All programming assignments will be completed in Python.
General Information
No information, yet. Stay tuned!
Staff Office Hours
Sonia Chernova
--
--
Seth Hutchinson
--
--
Weiyu Liu
--
--
Jake Williams
--
--
Narayan, Ganapathy Hari
--
--
Arjun
--
--
Varun Ramachandran
--
--
Beau Mitchell
--
--
Felix Bai
--
--
Sajid Anwar
--
--
Jihai An
--
--
Anqi Li
--
--
Vishvak Murahari
--
--