MAE 4180

MAE 4180

Course information provided by the Courses of Study 2019-2020.

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.

Prerequisites/Corequisites Prerequisite: MATLAB programming experience.

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

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: CS 3758ECE 4180ECE 5772MAE 5180

  • 3 Credits Graded

  • 12492MAE 4180  LEC 001

  • 18656MAE 4180  LAB 411

  • 12493MAE 4180  LAB 431

  • 12494MAE 4180  LAB 441

  • 12495MAE 4180  LAB 451