Course Overview

This course offers a comprehensive introduction and survey of both traditional and advanced artificial intelligence methods for mobile robots (e.g., ground, aerial, or marine), which is mainly designed for undergraduate students and junior graduate students in science and engineering. It covers both the theoretical foundations and practical applications of unmanned autonomous systems, drawing on various biological and cognitive principles. The course involves the software organization of intelligent robots and provides a comprehensive overview of the diverse algorithms used in each component of intelligent systems. This course will also cover interesting state-of-the-art topics from which you will learn the current trend in the development of AI-enabled robots, including but not limited to, machine learning and foundation models (e.g., LLMs, VLMs) for human-robot interaction/collaboration and multi-robot systems.

Course Details

Lectures

• Mondays & Wednesdays: 9:30 AM - 10:50 AM Dates: 09/25 - 12/05 Classroom: Room 172, Skye Hall

Office Hours

• Instructor (Prof. Jiachen Li): Time: TBD Location: WCH 344 Email: jiachen.li@ucr.edu

• Teaching Assistant: TBD

Prerequisites

• Familiarity with basic Python or C++ coding.

• Basic maths: multivariate calculus, linear algebra, and probability. This course does not involve a lot of maths, but it would be great to understand the basic concepts in these mathematical topics.