COL 864: Learning/AI for Cognitive Robot Intelligence


Description

This course will introduce students to the area of learning/AI-based robotics. The course studies the computational aspects of intelligent robotic systems that can sense, reason and act in the physical world often interacting with human partners. This course discusses topics such as probabilistic state estimation, planning and acting under uncertainty, human-robot interaction, learning from reinforcement & demonstration, world modeling etc. The course will include a brief review of basic tools, cover foundational models and overview contemporary techniques. This course will include student paper presentation/review and hands-on exercises. Prerequisites include an introductory machine learning or an AI course.

Prerequisites

Prerequisites include an introductory machine learning or an AI course. Strong background in topics such as Bayesian networks, factor graphs, basic deep learning models, classical search, Markov models, basic RL models etc. The course would require programming skills and ability to work with standard tools.

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