Enhanced GPIS Learning Based on Local and Global Focus Areas-Reference-Cited by-同舟云学术

Enhanced GPIS Learning Based on Local and Global Focus Areas

Published:2022-10 Issue:4 Volume:7 Page:11759-11766
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Murvanidze Zuka¹^ORCID,Deisenroth Marc Peter¹,Bekiroglu Yasemin¹^ORCID

Affiliation:

1. Department of Computer Science, University College London, London, U.K.

Funder

Chalmers AI Research Center

Chalmers Gender Initiative for Excellence

Project AIMCoR - AI-enhanced Mobile Manipulation Robot for Core Industrial Applications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9831196/09854140.pdf?arnumber=9854140

Reference49 articles.

1. GP-MPU Method for Implicit Surface Reconstruction

2. Scalable variational Gaussian process classification;hensman;Proc Artif Statist Mach Learn,0

3. Enhancing visual perception of shape through tactile glances

4. Gaussian process implicit surfaces for shape estimation and grasping

5. Improved Modeling of 3D Shapes with Multi-view Depth Maps

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