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
- Gain a solid understanding of Artificial potential field method
- Learn to implement APF method in code
- Learn about reactive motion planning in general
LessonArtificial Potential Fields - Setup
Course Content
LessonAssessment on Artificial Potential Fields
Course Content
Topics
Automation and Robotics, Automated Guided Vehicle (AGV), Robots, Robot Operating System (ROS)