ECE 5772

ECE 5772

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.

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

Comments Graduate version of ECE 4180.

  • 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 4180MAE 4180MAE 5180

  • 4 Credits Graded

  • 12683ECE 5772  LEC 001

  • 18660ECE 5772  LAB 411

  • 12685ECE 5772  LAB 431

  • 12686ECE 5772  LAB 441

  • 12687ECE 5772  LAB 451