Title :
Incremental multi-robot mapping
Author :
Lakaemper, Rolf ; Latecki, Longin Jan ; Wolter, Diedrich
Author_Institution :
Dept. of CIS, Temple Univ., Philadelphia, PA, USA
Abstract :
The purpose of this paper is to present a technique to create a global map of robots´ surroundings by converting the raw data acquired from a scanning sensor to a compact map composed of just a few generalized polylines (polygonal curves). We propose a new approach to merging robots´ maps that is composed of a local geometric process of merging similar line segments (termed discrete segment evolution) with a global statistical control process. In the case of single robot, we are able to incrementally build a map showing the environment the robot has traveled through by merging its polygonal map with actual scans. In the case of a robot team, we are able to identify common parts of their partial maps and if common parts are present construct a joint map of the explored environment.
Keywords :
knowledge representation; mobile robots; multi-robot systems; cognitive robotics; discrete segment evolution; incremental multirobot mapping; map fusion; polygonal curves; polylines; shape similarity; statistical control; Cognitive robotics; Computational Intelligence Society; Informatics; Mathematics; Merging; Process control; Robot sensing systems; Shape; Simultaneous localization and mapping; Stress; Cognitive Robotics; Map Fusion; Robot Mapping; Shape Similarity; Team of Robots;
Conference_Titel :
Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-8912-3
DOI :
10.1109/IROS.2005.1544978