Learning-Based Slip Detection for Robotic Fruit Grasping and Manipulation under Leaf Interference

Robotic harvesting research has seen significant achievements in the past decade, with breakthroughs being made in machine vision, robot manipulation, autonomous navigation and mapping. However, the missing capability of obstacle handling during the grasping process has severely reduced harvest succ...

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Detalles Bibliográficos
Autores principales: Zhou, Hongyu, Xiao, Jinhui, Kang, Hanwen, Wang, Xing, Au, Wesley, Chen, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332724/
https://www.ncbi.nlm.nih.gov/pubmed/35897992
http://dx.doi.org/10.3390/s22155483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332724/
https://www.ncbi.nlm.nih.gov/pubmed/35897992
http://dx.doi.org/10.3390/s22155483

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