摘要
《机器人与机器学习每日新闻》的新闻记者兼新闻编辑——研究人员详细介绍了机器人S中的新数据。根据NewsRx记者从中华人民共和国广州发回的新闻报道，研究人员称：“低质、形状相似，”本文提出了一种多源融合SLAM系统BiCRSLAM,该系统不仅可以估计机器人的独特状态,而且可以给出桁架的参数表示。本研究的资金支持机构包括中国广东省基础与应用基础研究基金、中国广东省重点领域研发项目、中国佛山市科技创新团队项目。
Abstract
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 .
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