Artificial Potential Fields

Type of course:

Digital learning, Lesson

Language:

Duration:

20 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Professionals, Students

This nugget 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 this nugget 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

Get a holistic view of artificial potential fields
Learning by doing! - Code along the way to see potential fields in action
Setup the simulation environment to visualize the algorithm performance on robots.