首页|Studies in the Area of Robotics Reported from Guangdong University of Technology (Bicr-slam: a Multi-source Fusion Slam System for Biped Climbing Robots In Trus s Environments)
Studies in the Area of Robotics Reported from Guangdong University of Technology (Bicr-slam: a Multi-source Fusion Slam System for Biped Climbing Robots In Trus s Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating in Guangzhou, People’s Republic of Ch ina, by NewsRx journalists, research stated, “The low -texture, shape -similar, interconnected and mutual -occlusion nature of truss members poses challenges fo r simultaneous localization and mapping of biped climbing robots in truss enviro nments. In this paper, we propose BiCRSLAM, a multi -source fusion SLAM system, to estimate both the distinctive state of the robot and a parametric representa tion of the truss, going beyond traditional point cloud mapping.” Financial supporters for this research include Guangdong Basic and Applied Basic Research Fund, China, Research and Development Programs in Key Areas of Guangdo ng Province, China, Foshan Science and Technology Innovation Team Project, China .
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningNano-robotRoboticsGuangdong Un iversity of Technology
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