MAE 5180

Autonomous Mobile Robots

Course Description

Course information provided by the Courses of Study 2022-2023.

Creating robots capable of performing complex tasks autonomously requires one to address a variety of different challenges such as sensing, perception, control, planning, mechanical design, and interaction with humans. In recent years many advances have been made toward creating such systems, both in the research community (different robot challenges and competitions) and in industry (industrial, military, and domestic robots). This course gives an overview of the challenges and techniques used for creating autonomous mobile robots. Topics include sensing, localization, mapping, path planning, motion planning, obstacle and collision avoidance, and multi-robot control.

When Offered Spring.

Permission Note Enrollment limited to: graduate students or permission of instructor.

• Students will be able to understand and implement localization and mapping algorithms using different sensor modalities.
• Students will be able to generate a path and the motion for a robot moving around an area with obstacles.
• Students will be able to understand and implement the concepts of different approaches for motion planning such as roadmaps, feedback control and sampling based methods.
• Students will be able to apply the tools learned in the class to physical robots.

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