Experimental Comparison of Two 6D Pose Estimation Algorithms in Robotic Fruit-Picking Tasks

Experimental Comparison of Two 6D Pose Estimation Algorithms in Robotic Fruit-Picking Tasks

This paper presents an experimental comparison between two existing methods representative of two categories of 6D pose estimation algorithms nowadays commonly used in the robotics community. The first category includes purely deep learning methods, while the second one includes hybrid approaches co...

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Bibliographic Details
Main Authors: Alessio Benito Alterani, Marco Costanzo, Marco De Simone, Sara Federico, Ciro Natale
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Robotics
Subjects:
pose estimation
robotic grasping
deep learning
Online Access:https://www.mdpi.com/2218-6581/13/9/127
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https://www.mdpi.com/2218-6581/13/9/127

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