CS 3758

CS 3758

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 or permission of instructor.

Outcomes
  • 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

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: ECE 4180ECE 5772MAE 4180MAE 5180

  • 3 Credits Stdnt Opt

  • 12496 CS 3758   LEC 001

    • TR Phillips Hall 219
    • Jan 21 - May 5, 2020
    • Kress-Gazit, H

  • Instruction Mode: Hybrid - Online & In Person

  • 18657 CS 3758   LAB 411

  • Instruction Mode: Hybrid - Online & In Person

  • 12497 CS 3758   LAB 431

  • Instruction Mode: Hybrid - Online & In Person

  • 12498 CS 3758   LAB 441

  • Instruction Mode: Hybrid - Online & In Person

  • 12499 CS 3758   LAB 451

  • Instruction Mode: Hybrid - Online & In Person