Abstract — This paper presents a new approach to the multi-robot map-alignment problem that enables teams of robots to build joint maps without initial knowledge of their relative poses. The key contribution of this work is an optimal algorithm for merging (not necessarily overlapping) maps that are created by different robots independently. Relative pose measurements between pairs of robots are processed to compute the coordinate transformation between any two maps. Noise in the robot-to-robot observations, propagated through the map-alignment process, increases the error in the position estimates of the transformed landmarks, and reduces the overall accuracy of the merged map. When there is overlap between the two maps, landmarks that app...
In this thesis a multi robot algorithm for Simultaneous Localization and Mapping (SLAM) using a Rao-...
This paper addresses the cooperative localization and visual mapping problem with multiple heterogen...
International audienceThis article introduces a decentralized multi-robot algorithm for Simultaneous...
The multi-robot teams have a potential to significantly speed up the mapping process of the environm...
Abstract: When having a multi-robot system in which each robot contructs its own local map, it can b...
In the area of mobile robotics Simultaneous Localization and Mapping (SLAM) is a challenging problem...
Abstract. Multi-robot map merging is an essential task for cooperative robot navigation. In the real...
An unknown environment could be mapped more efficiently by a group of robots than a single robot. Th...
This paper presents a multi-robot simultaneous localization and map building (SLAM) algorithm, suita...
This paper presents a multi-robot mapping and localization system. Learning maps and efficient explo...
Copyright © 2013 Yanli Liu et al.This is an open access article distributed under the Creative Commo...
Abstract — This paper describes a new algorithm for coop-erative and persistent simultaneous localiz...
In this paper we propose an algorithm to multi-robot cooperative Simultaneous Localization and Mappi...
A set of robots mapping an area can potentially combine their information to produce a distributed m...
Abstract — This paper describes an on-line algorithm for multirobot simultaneous localization and ma...
In this thesis a multi robot algorithm for Simultaneous Localization and Mapping (SLAM) using a Rao-...
This paper addresses the cooperative localization and visual mapping problem with multiple heterogen...
International audienceThis article introduces a decentralized multi-robot algorithm for Simultaneous...
The multi-robot teams have a potential to significantly speed up the mapping process of the environm...
Abstract: When having a multi-robot system in which each robot contructs its own local map, it can b...
In the area of mobile robotics Simultaneous Localization and Mapping (SLAM) is a challenging problem...
Abstract. Multi-robot map merging is an essential task for cooperative robot navigation. In the real...
An unknown environment could be mapped more efficiently by a group of robots than a single robot. Th...
This paper presents a multi-robot simultaneous localization and map building (SLAM) algorithm, suita...
This paper presents a multi-robot mapping and localization system. Learning maps and efficient explo...
Copyright © 2013 Yanli Liu et al.This is an open access article distributed under the Creative Commo...
Abstract — This paper describes a new algorithm for coop-erative and persistent simultaneous localiz...
In this paper we propose an algorithm to multi-robot cooperative Simultaneous Localization and Mappi...
A set of robots mapping an area can potentially combine their information to produce a distributed m...
Abstract — This paper describes an on-line algorithm for multirobot simultaneous localization and ma...
In this thesis a multi robot algorithm for Simultaneous Localization and Mapping (SLAM) using a Rao-...
This paper addresses the cooperative localization and visual mapping problem with multiple heterogen...
International audienceThis article introduces a decentralized multi-robot algorithm for Simultaneous...