Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap-Reference-Cited by-同舟云学术

Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap

Published:2023-02 Issue:1 Volume:39 Page:57-75
ISSN:1552-3098
Container-title:IEEE Transactions on Robotics
language:
Short-container-title:IEEE Trans. Robot.

Author:

Lippi Martina¹^ORCID,Poklukar Petra¹^ORCID,Welle Michael C.¹^ORCID,Varava Anastasia¹^ORCID,Yin Hang¹^ORCID,Marino Alessandro²^ORCID,Kragic Danica¹^ORCID

Affiliation:

1. KTH Royal Institute of Technology, Stockholm, Sweden

2. University of Cassino and Southern Lazio, Cassino, Italy

Funder

Swedish Research Council, Knut and Alice Wallenberg Foundation

European Research Council

European Commission

Dipartimento di Eccellenza granted to DIEI Department

Università degli Studi di Cassino e del Lazio Meridionale

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/ielx7/8860/10040949/09833914.pdf?arnumber=9833914

Reference53 articles.

1. Combining self-supervised learning and imitation for vision-based rope manipulation

2. Learning Robotic Manipulation through Visual Planning and Acting

3. Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor

4. VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation

5. Density-Based Clustering Based on Hierarchical Density Estimates

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