Researcher from South China Agriculture University Reports on Findings in Roboti cs (A Context-Aware Navigation Framework for Ground Robots in Horticultural Envi ronments)
Researcher from South China Agriculture University Reports on Findings in Roboti cs (A Context-Aware Navigation Framework for Ground Robots in Horticultural Envi ronments)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on robotics have been published. According to news reporting originating from Guangzhou, People' s Republic of China, by NewsRx correspondents, research stated, "Environmental m apping and robot navigation are the basis for realizing robot automation in mode rn agricultural production." The news journalists obtained a quote from the research from South China Agricul ture University: "This study proposes a new autonomous mapping and navigation me thod for gardening scene robots. First, a new LiDAR slam-based semantic mapping algorithm is proposed to enable the robots to analyze structural information fro m point cloud images and generate roadmaps from them. Secondly, a general robot navigation framework is proposed to enable the robot to generate the shortest gl obal path according to the road map, and consider the local terrain information to find the optimal local path to achieve safe and efficient trajectory tracking ; this method is equipped in apple orchards. The LiDAR was evaluated on a differ ential drive robotic platform. Experimental results show that this method can ef fectively process orchard environmental information. Compared with vnf and point net++, the semantic information extraction efficiency and time are greatly impro ved."
Key words
South China Agriculture University/Guan gzhou/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics
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