Planning and Navigation

This seminar deconstructs the decision-making psychology of autonomous robots, moving from high-level cognitive architectures to specific algorithmic implementations. Eurecat researcher Pau Reverte explains how to bridge the gap between “automation” and true “autonomy” in challenging agricultural environments where terrain is non-geometric and obstacles are organic. Learn the mathematics behind Global Planning (Dijkstra, A*, RRT) and Local Planning (Dynamic Window Approach), and discover how to tune the ROS Navigation Stack for heavy agricultural machinery.