Namoshe, MKumile, CMTlale, NS2009-04-242009-04-242007-10Namoshe, M, Kumile, CM and Tlale, NS. 2007. Development and implementation of algorithms in a population of cooperative autonomous mobile robots. 10th Botswana Institute of Engineers Biennial Conference. Gaborone, Botswana, 17-19 October, pp 897899912-0-730-8http://hdl.handle.net/10204/334410th Botswana Institute of Engineers Biennial Conference. Gaborone, Botswana, 17-19 October 2007An increase in the number of mobile robot users has lead to the design and implementation of cooperative autonomous mobile robots. Autonomous robots require the ability to build maps of an unknown environment while simultaneously using these maps for navigation. The main factor in multiple mobile robots is that a team of smaller and simpler mobile robots can outperform a single, large and complex robot. The paper treats localization and map building as a joint probability, that is while robots navigate they localize and build local maps. These local maps from each robot in the team are fused into a global map at some instances during navigation. Cooperative simultaneous localization and map building (C-SLAM) implemented by Extended Kalman Filter (EKF) algorithms are proposed towards task manipulation in a multirobot set up. The article entails modelling a multiple mobile robot system, in order to understand robot population communication and cooperation within an operational environmentenMulti mobile robotsSimultaneous localization and mapping (SLAM)Autonomous mobile robotsPosition estimatesCooperative autonomous mobile robotsAlgorithmsConference PresentationNamoshe, M., Kumile, C., & Tlale, N. (2007). Development and implementation of algorithms in a population of cooperative autonomous mobile robots. http://hdl.handle.net/10204/3344Namoshe, M, CM Kumile, and NS Tlale. "Development and implementation of algorithms in a population of cooperative autonomous mobile robots." (2007): http://hdl.handle.net/10204/3344Namoshe M, Kumile C, Tlale N, Development and implementation of algorithms in a population of cooperative autonomous mobile robots; 2007. http://hdl.handle.net/10204/3344 .TY - Conference Presentation AU - Namoshe, M AU - Kumile, CM AU - Tlale, NS AB - An increase in the number of mobile robot users has lead to the design and implementation of cooperative autonomous mobile robots. Autonomous robots require the ability to build maps of an unknown environment while simultaneously using these maps for navigation. The main factor in multiple mobile robots is that a team of smaller and simpler mobile robots can outperform a single, large and complex robot. The paper treats localization and map building as a joint probability, that is while robots navigate they localize and build local maps. These local maps from each robot in the team are fused into a global map at some instances during navigation. Cooperative simultaneous localization and map building (C-SLAM) implemented by Extended Kalman Filter (EKF) algorithms are proposed towards task manipulation in a multirobot set up. The article entails modelling a multiple mobile robot system, in order to understand robot population communication and cooperation within an operational environment DA - 2007-10 DB - ResearchSpace DP - CSIR KW - Multi mobile robots KW - Simultaneous localization and mapping (SLAM) KW - Autonomous mobile robots KW - Position estimates KW - Cooperative autonomous mobile robots KW - Algorithms LK - https://researchspace.csir.co.za PY - 2007 SM - 97899912-0-730-8 T1 - Development and implementation of algorithms in a population of cooperative autonomous mobile robots TI - Development and implementation of algorithms in a population of cooperative autonomous mobile robots UR - http://hdl.handle.net/10204/3344 ER -