Beta Mixture Model for the Uncertainties in Robotic Haptic Object Identification-Reference-Cited by-同舟云学术

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Beta Mixture Model for the Uncertainties in Robotic Haptic Object Identification

Published:2022-08 Issue:4 Volume:27 Page:1955-1963
ISSN:1083-4435
Container-title:IEEE/ASME Transactions on Mechatronics
language:
Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Xia Yu¹^ORCID,Mohammadi Alireza¹^ORCID,Peng Liuhua²^ORCID,Tan Ying¹^ORCID,Chen Bernard¹,Choong Peter³^ORCID,Oetomo Denny¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, The University of Melbourne, Melbourne, VIC, Australia

2. School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia

3. Department of Surgery, St Vincent’s Hospital, The University of Melbourne, Melbourne, VIC, Australia

Funder

Valma Angliss Trust

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/3516/9857961/09787058.pdf?arnumber=9787058

Reference45 articles.

1. Maximum Likelihood Estimation

2. The importance of interpretability and visualization in machine learning for applications in medicine and health care

3. Robotic tactile perception of object properties: A review

4. A survey on the application of recurrent neural networks to statistical language modeling

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. A Multimodal Robust Recognition Method for Grasping Objects With Robot Flexible Grippers;IEEE/ASME Transactions on Mechatronics;2024

2. GTac-Hand: A Robotic Hand With Integrated Tactile Sensing and Extrinsic Contact Sensing Capabilities;IEEE/ASME Transactions on Mechatronics;2023-10

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