Current
Intermediate
Self Driving and ROS 2 - Plan & Navigation
Udemy · Antonio Brandi · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
28.5 hours video
Classes
161
Create a ROS2 Self-Driving robot with Python and C++. Master Navigation, Planning and Decision Making with Behavior Tree.
What you'll get
Implement path planning algorithms for robots
Build decision-making with Behavior Trees
Deploy autonomous navigation systems
Fit
Best for
Autonomy Engineers
Self-Driving Developers
IoT Engineers
Systems Engineers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
ROS 2 Basics, Odometry & Control
Pricing
$12.99
Certification
Certificate
Growth Leverage: Completing this course equips you for roles such as Autonomous Vehicle Engineer, Robotics Software Developer, or AI Engineer in self-driving technology companies. It also positions you for certifications in advanced ROS 2 applications and opens opportunities in the growing autonomous systems sector, worth billions.
Skills Value: With expertise in path planning and Behavior Trees, you can address complex navigation challenges in robotics, meeting the high demand for automation solutions. This skill set can lead to lucrative job offers, with salaries for robotics engineers often exceeding $100,000 annually.
ROS 2
Path Planning
Navigation
Behavior Trees
Decision Making