{"product_id":"multi-agent-visual-slam-algorithms-on-autonomous-robots-von-nezih-ergin-ozkucur","title":"Multi-Agent Visual-SLAM Algorithms on Autonomous Robots","description":"\u003cp\u003eThe Simultaneous Localization and Mapping (SLAM)  problem is one of the most challenging problems in  robot navigation. The problem addresses autonomously  exploring and mapping an unknown environment without  prior knowledge (of features). The robot should  generate the map of the environment and estimate its  pose with respect to the map. An extension of this  problem to the distributed multi-robot platform is a  popular research topic for its challenges and  commitments. Multiple cooperative robots exploring an  area would decrease exploration time and increase the  accuracy. This work introduces the application of two  successful SLAM solution techniques to the  multi-robot domain using visual sensors and  non-unique landmarks. There are two contributions to  the literature: Evolutionary Strategies (ES) is used  to calibrate the parameters of the Extended Kalman  Filter-SLAM (EKF-SLAM) method with supervised data,  and a novel map merging method with uncertainty  propagation is introduced for the Fast-SLAM  algorithm. The developed algorithms are tested in  both simulated and real robot experiments and the  improvements and applicability of the developed  methods are shown with the results.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783838382265\"\u003e\u003ch3\u003eMulti-Robot Mapping\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783838382265","offer_id":39482521747549,"sku":"9783838382265","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/b2a53e45-a496-48fe-af19-0c8fef84c0da.jpg?v=1751348478","url":"https:\/\/shop.autorenwelt.de\/en\/products\/multi-agent-visual-slam-algorithms-on-autonomous-robots-von-nezih-ergin-ozkucur","provider":"Autorenwelt Shop","version":"1.0","type":"link"}