Bin-Picking in the Industry 4.0 Era-Reference-Cited by-同舟云学术

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Bin-Picking in the Industry 4.0 Era

Published:2023-01-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Consumer Electronics (ICCE)
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Author:

Kyprianou Georgios¹,Doitsidis Lefteris²,Kapoutsis Athanasios Ch.³,Zinonos Zinon¹,Chatzichristofis Savvas A.¹

Affiliation:

1. Neapolis University Pafos,Intelligent Systems Laboratory (ISLab),Department of Computer Science,Cyprus

2. School of Production Engineering and Management, Technical University of Crete,Chania,Greece

3. Information Technologies Institute, The Centre for Research & Technology,Hellas

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10043349/10043179/10043452.pdf?arnumber=10043452

Reference25 articles.

1. Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment

2. Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking

3. Generic Development of Bin Pick-and-Place System Based on Robot Operating System

4. What, Where and How? Introducing pose manifolds for industrial object manipulation

5. Fast Object Pose Estimation Using Adaptive Threshold for Bin-Picking

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Filtering Organized 3D Point Clouds for Bin Picking Applications;Applied Sciences;2024-01-23

2. ReC-Gripper: A Reconfigurable Combined Suction and Fingered Gripper for Various Logistics Picking and Stowing Tasks;IEEE Robotics and Automation Letters;2024-01

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