Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories-Reference-Cited by-同舟云学术

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Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories

Published:2023-08-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
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Author:

Butterworth Aaron¹,Pizzuto Gabriella²,Pecyna Leszek³,Cooper Andrew I.²,Luo Shan³

Affiliation:

1. University of Liverpool,Department of Computer Science,Liverpool,United Kingdom,L69 3BX

2. University of Liverpool,Department of Chemistry,Liverpool,United Kingdom,L69 3BX

3. King's College London,Department of Engineering,London,United Kingdom,WC2R 2LS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260414.pdf?arnumber=10260414

Reference22 articles.

1. Autonomous DataFactory: High-throughput screening for large-scale data collection to inform medicine manufacture

2. Blueprint for a pop-up SARS-CoV-2 testing lab;amen;Nature Biotechnology,2020

3. Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning

4. Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping

5. Seeing glass: Joint point cloud and depth completion for transparent objects;xu;CoRR,2021

Cited by 1 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. Methods of automated detection of travel points when training a collaborative robot;BIO Web of Conferences;2024

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