Efficient algorithms for finding maximum matching in graphs
ACM Computing Surveys (CSUR)
The Kalman filter: an introduction to concepts
Autonomous robot vehicles
Artificial Intelligence - Special issue on Robocop: the first step
Distributed deadlock detection
ACM Transactions on Computer Systems (TOCS)
Robot Motion Planning
A Probabilistic Approach to Collaborative Multi-Robot Localization
Autonomous Robots
RoboCup-99: Robot Soccer World Cup III
Fast, Accurate, and Robust Self-Localization in the RoboCup Environment
RoboCup-99: Robot Soccer World Cup III
An Experimental Compaarison of Path Planning Techniques for Teams of Mobile Robots
Autonome Mobile Systeme 2000, 16. Fachgespräch
Multi-robot exploration of an unknown environment, efficiently reducing the odometry error
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Active mobile robot localization
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Hi-index | 0.00 |
Having a robot that carries out a task for you is certainly of some help. Having a group of robots seems to be even better because in this case the task may be finished faster and more reliably. However, dealing with a group of robots can make some problems more difficult. In this paper we sketch some of the advantages and some problems that come up when dealing with groups of robots. In particular, we describe techniques as they have been developed and tested in the area of robotic soccer.