Course Filter

Course type
Duration
Hours
Target
Topics
Language
Proficiency
Certificate selection
Instructor organization
Price
Eur

Autonomous Mobile Robotics - Artificial Potential Fields

By University of Tartu

Type of course:

Digital learning, Path

Language:

EN

Duration:

50 minutes

Workload:

6 hours

Proficiency:

Advanced

Target:

Professionals, Students

This Learning Path explains the Artificial Potential Field Navigation method and covers the basics of reactive motion planning. The goal of this learning path is to provide a solid background in Artificial Potential Field Navigation method in ROS. Through a series of nuggets the learner will be exposed to the fundamental theory and practical issues involving the potential field method. The code for the algorithm will be provided along with a simulation environment setup so that the learner can test the algorithm and see it in action on robots.


Learning outcomes

  1. Gain a solid understanding of Artificial potential field method
  2. Learn to implement APF method in code
  3. Learn about reactive motion planning in general
LessonArtificial Potential Fields - Setup
LessonAssessment on Artificial Potential Fields

Course Content

Expand All

Topics

Automation and Robotics, Automated Guided Vehicle (AGV), Robots, Robot Operating System (ROS)

Provided by

Content created in 2023
+222 enrolled
Take the next step toward your learning goals

Course Includes

  • 2 Quizzes
  • 1 Certificate of achievement

Related