Reports from Shanghai Ocean University Add New Data to Findings in Robotics (Res earch On Mobile Robot Indoor Positioning Mapping Based On Front-end and Back-end Optimization)
Reports from Shanghai Ocean University Add New Data to Findings in Robotics (Res earch On Mobile Robot Indoor Positioning Mapping Based On Front-end and Back-end Optimization)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “When the traditional RBPF-SLAM algorithm is applied to indoor positioning and mapping of mobile robots, it is prone to in accurate positioning and mapping due to the long computation time of the front-e nd matching algorithm and the presence of particle missing in the back-end optim ization algorithm. We popose to optimize the matching efficiency of lidar using the PL-ICP algorithm in the front-end of the SLAM system.”
Key words
Shanghai/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Shanghai Ocean University
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