Pose estimation and adaptable grasp configuration with point cloud registration and geometry understanding for fruit grasp planning-Reference-Cited by-同舟云学术

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Pose estimation and adaptable grasp configuration with point cloud registration and geometry understanding for fruit grasp planning

Published:2020-12 Issue: Volume:179 Page:105818
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Guo Ning,Zhang Baohua,Zhou Jun,Zhan Ketian,Lai Shuang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference32 articles.

1. Ali, H., Figueroa, N., 2012. Segmentation and pose estimation of planar metallic objects. In: Ninth Conference on Computer & Robot Vision.

2. A greedy region growing algorithm for anisotropic stretch adaptive triangulation of geometry images;Bayazit;Graph. Models,2019

3. Review. Technologies for robot grippers in pick and place operations for fresh fruits and vegetables;Blanes;Spanish J. Agric. Res.,2011

4. Design and fuzzy control of a robotic gripper for efficient strawberry harvesting;Dimeas;Robotica,2015

5. Du, G., Wang, K., Lian, S., 2019. Vision-based Robotic Grasping from Object Localization, Pose Estimation, Grasp Detection to Motion Planning: A Review.

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