We consider the problem of distributed exploration or coverage of an unknown environment by a swarm of mobile minirobots that have limited memory, computation and communication ca...
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
— The localization of mobile systems with video data is a challenging field in robotic vision research. Apart from artificial environmental support technologies like GPS locali...
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...