Weifang University Researchers Publish New Studies and Findings in the Area of R obotics (Research on Robot Path Planning Based on Point Cloud Map in Orchard Env ironment)
Weifang University Researchers Publish New Studies and Findings in the Area of R obotics (Research on Robot Path Planning Based on Point Cloud Map in Orchard Env ironment)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting out of Weifang, People’s Republic of China, by NewsRx editors, research stated, “In response to the navigation requirements of robots in orchard environments, this paper presents a navigation method for o rchard robots based on point cloud maps.” The news reporters obtained a quote from the research from Weifang University: “ First, point cloud maps are processed with pass-through filtering and PCA algori thms to make them suitable for path planning. Next, tree rows within the orchard are clustered and segmented based on map orientations. Then, the least squares method and the $\text{A} ∧{\ast} $ algorithm are combined for global path planning on local maps. Lastly, the TEB l ocal path planning algorithm is employed to ensure that the robot navigates alon g the operation path. Experimental results indicate that the robot can successfu lly navigate orchards at speeds ranging from 0.4 to 1.0 m/s. The average longitu dinal deviation obtained under these conditions is 26.7 cm, with a maximum value not exceeding 46.2 cm.”
Key words
Weifang University, Weifang, People’s Re public of China, Asia, Emerging Technologies, Machine Learning, Nano-robot, Robo t, Robotics
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