Peduncle collision-free grasping based on deep reinforcement learning for tomato harvesting robot-Reference-Cited by-同舟云学术

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Peduncle collision-free grasping based on deep reinforcement learning for tomato harvesting robot

Published:2024-01 Issue: Volume:216 Page:108488
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Li Yajun,Feng Qingchun^ORCID,Zhang Yifan,Peng Chuanlang,Ma Yuhang,Liu Cheng,Ru Mengfei,Sun Jiahui,Zhao Chunjiang

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference46 articles.

1. Development of a sweet pepper harvesting robot;Arad;J. f. Robot.,2020

2. Performance evaluation of a harvesting robot for sweet pepper;Bac;J. f. Robot.,2017

3. Angle estimation between plant parts for grasp optimisation in harvest robots;Barth;Biosyst. Eng.,2019

4. Path planning for manipulators based on an improved probabilistic roadmap method;Chen;Robot. Comput. Integr. Manuf.,2021

5. Graspnet-1billion: A large-scale benchmark for general object grasping;Fang,2020

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