首页|Research Conducted at Zhejiang Agriculture & Forestry University H as Provided New Information about Robotics (In Different Weed Distributions, the Dynamic Coverage Algorithm for Mechanical Selective Weeding Robot)
Research Conducted at Zhejiang Agriculture & Forestry University H as Provided New Information about Robotics (In Different Weed Distributions, the Dynamic Coverage Algorithm for Mechanical Selective Weeding Robot)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Current study results on Robotics have been publi shed. According to news reporting out ofHangzhou, People's Republic of China, b y NewsRx editors, research stated, "A weeding robot's workingrange and accuracy are vital indicators of the robot. Selective weeding robots can accurately weed andhave higher control requirements."Financial support for this research came from The "Pioneer" and "Leading Goose" R & D Program ofZhejiang.Our news journalists obtained a quote from the research from Zhejiang Agricultur e & Forestry University,"We designed the dynamic coverage algorit hm for mechanical selective weeding robot in differentweed distributions. The r obot comprises a control, actuator, and mobile module. The actuator moduleinclu des a four-degree-of-freedom mechanical work device. It removes weeds under crop s. The mechanicalwork device was resolved through the D-H matrix. It provided a reference for robot control and verifiedthe feasibility of the mechanism by tr ajectory simulation. The dynamic coverage algorithm autonomouslyselects the bes t algorithm by the coverage of each area. The result shows the coverage path for differentpercentages of weeds. The dynamic coverage algorithm demonstrates goo d dynamic performance indifferent weed distributions. The result compares the d ynamic coverage algorithm with the other threealgorithms (BCD algorithm, Greedy algorithm, and Segmentation-based algorithm). Our algorithm reducesthe average path of 10.9%, 16.5%, and 21.5%. Finally , we tested the robot in an indoor environment. Itcould successfully avoid the crop to complete the precise weeding work."
HangzhouPeople's Republic of ChinaAs iaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotRobo ticsZhejiang Agriculture & Forestry University
NETL
NSTL
