Some location problems for robot navigation using a single camera
Computer Vision, Graphics, and Image Processing
Journal of Intelligent and Robotic Systems
Multi-robot Cooperative Localization through Collaborative Visual Object Tracking
RoboCup 2007: Robot Soccer World Cup XI
Social Odometry in Populations of Autonomous Robots
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Laser-based geometric modeling using cooperative multiple mobile robots
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
HELIOS system: a team of tracked robots for special urban search and rescue operations
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
IEEE Transactions on Robotics
Interrobot transformations in 3-D
IEEE Transactions on Robotics
Deterministic robot-network localization is hard
IEEE Transactions on Robotics
An approach to multi-robot site exploration based on principles of self-organisation
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
Evaluating the effect of robot group size on relative localisation precision
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Distributed multi-robot localization based on mutual path detection
KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence
Distributed localization and mapping with a robotic swarm
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Dynamic graph-based search in unknown environments
Journal of Discrete Algorithms
Journal of Intelligent and Robotic Systems
A “thermodynamic” approach to multi-robot cooperative localization
Theoretical Computer Science
Robotics and Autonomous Systems
Dispersion and exploration for robot teams
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Mutual localization in multi-robot systems using anonymous relative measurements
International Journal of Robotics Research
Cooperative Enhancement of Position Accuracy of Unmanned Aerial Vehicles
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Rolling dispersion for robot teams
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Several position identification methods are beingused for mobile robots. Dead reckoning is a popular method but dueto the error accumulation from wheel slippage, its reliability is lowfor measurement of long distances especially on uneven surfaces.Another popular method is the landmark method, which estimatescurrent position relative to known landmarks, but the landmarkmethod's limitation is that it cannot be used in an unchartedenvironment. Thus, this paper proposes a new method called“Cooperative Positioning System (CPS)” that is able to overcomethese shortcomings. The main concept of CPS is to divide the robotsinto two groups, A and B where group A remains stationary and acts asa landmark while group B moves and then group B stops and acts as alandmark for group A. This process is repeated until the targetposition is reached. Compared with dead reckoning, CPS has a farlower accumulation of positioning errors, and can also work in threedimensions. Furthermore, CPS employs inherent landmarks andtherefore can be used in uncharted environments unlike the landmarkmethod. In this paper, we introduce the basic concept of CPS and itspositioning principle. Next, we outline a second prototype CPSmachine model (CPS-II) and discuss the method of position estimationusing the variance of positioning error and weighted least squaresmethod. Position identification experiments using the CPS-II modelgive a positioning accuracy of 0.12% for position and 0.32 degreefor attitude after the robots traveled a distance of 21.5 m.