Beginning October 2108, the intent of this blog will be discussing programming of autonomous agents, artificial intelligence, data science and analysis and supporting tools to facilitate accomplishing the tasks in these domains.

 

 

The video clip above was my submission for Project 2 of the Udacity Flying Car Nanodegree.

This is a demonstration of autonomous 3D flight planning using the A-star search algorithm to find a path solution for a simulated Quadrotor through a simulated 3D section of downtown San Francisco California as the physical environment.

This solution needs some improvement to reduce the number of nodes along the path to eliminate the need for the Quadrotor to double back when overshooting a given node. The process of reducing the number of waypoints or  nodes is called path pruning and there are several techniques available for achieving this.