Autonomous Robotics

3 credits · Graduate

Introduction to autonomous robotics with a focus on the marine environment. Discussions to probabilistic robotics, application to modern machine learning techniques, knowledge-based systems to robotic decision-making. an overview of the robotics environment, Bayesian filtering, simultaneous localization and mapping, and optimal control. Students will implement the theories on actual robots for the course project. PREREQUISITES: Undergraduate probability and statistics, some programming, and calculus CROSSLISTED: CSCI 6511.03 FORMATS: Lecture | Lab