首页|Polytechnic University of Madrid Details Findings in Robotics (Vision-based Coll aborative Robots for Exploration In Uneven Terrains)
Polytechnic University of Madrid Details Findings in Robotics (Vision-based Coll aborative Robots for Exploration In Uneven Terrains)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Madrid, Spain, by NewsRx journalists, research stated, "Exploring tasks in unknown environment s has become a relevant search and rescue robotics approach. Ground robots are a better alternative to rescuers for first exploration." Funders for this research include Programas de Actividades I + D en la Comunidad Madrid, Structural Funds of the EU, Proyectos de I + D + i del Ministerio de Ci encia, Innovacion y Universidades, Proyecto CollaborativE Search And Rescue robo ts (CESAR), ERDF A way of making Europe. The news reporters obtained a quote from the research from the Polytechnic Unive rsity of Madrid, "However, exploration progress is often limited by uneven terra ins that exceed the kinematic capabilities of robots, including those with compl ex locomotion systems. This work proposes an innovative solution based on collab orative behaviours to overcome even terrains. A method employing two collaborati ve robots designed to operate in a marsupial configuration to surmount uneven te rrains has been implemented. These robots, denoted as R1 (enhanced with a mobile ramp) and R2 (serving as an explorer), interact synergistically to expand the e xplored area autonomously. A state machine has been implemented to manage the pr ogression of the mission, based on a perception (RGB-D) system, for both decisio n - making and autonomous execution of the process. In the initial stage, the ter rain and ascent zones to be explored are characterized using point clouds and un supervised learning. Subsequently, the second stage manages the interaction betw een the robots by controlling the R2 ascent through the R1 ramp using artificial vision algorithms and beacons. Outdoor tests have been performed to validate th e method."
MadridSpainEuropeEmerging Technolo giesMachine LearningNano-robotRoboticsPolytechnic University of Madrid
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