Algorithms for Robot Navigation: From Optimizing Individual Robots to Particle Swarms
published: Nov. 25, 2016, recorded: October 2016, views: 1533
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Planning and optimizing the motion of one or several robots poses a wide range of problems. What positions should one powerful robot pick to scan a given area with obstacles? How can we coordinate a group of weaker robots to explore an unknown environment? How can we ensure that a swarm of very simple robots with local capabilities can deal with conflicting global requirements? And how can a particle swarm perform complex operations? We will demonstrate how an appropriate spectrum of algorithmic methods in combination with geometry can be used to achieve progress on all of these challenges.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !