沃罗诺图
机器人
计算机科学
兴旺的
压缩(物理)
模拟
人工智能
成熟度
生物系统
数学
材料科学
植物
复合材料
生物
社会学
成熟
社会科学
几何学
作者
Weigui Xie,Jinchen Yang,Zhenhua Tan,Zhengqiang Guo,Wangyu Liu,Yuanqiang Luo,Jingren Gou
摘要
A Voronoi-based modelling method is proposed for micro-reconstruction of tomato pericarp, and the corresponding compression simulation results agree well with the experimental tests. Such result can be utilized as reference to improve the grasping force control for harvesting robot to avoid invisible damage induced by accident overload issue. With the predicting result, superior success rate can be achieved to enhance robot performance. © 2024 Society of Chemical Industry.
科研通智能强力驱动
Strongly Powered by AbleSci AI