Latent Space Planning for Multiobject Manipulation With Environment-Aware Relational Classifiers-Reference-Cited by-同舟云学术

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Latent Space Planning for Multiobject Manipulation With Environment-Aware Relational Classifiers

Published:2024 Issue: Volume:40 Page:1724-1739
ISSN:1552-3098
Container-title:IEEE Transactions on Robotics
language:
Short-container-title:IEEE Trans. Robot.

Author:

Huang Yixuan¹^ORCID,Taylor Nichols Crawford¹^ORCID,Conkey Adam¹^ORCID,Liu Weiyu²^ORCID,Hermans Tucker¹^ORCID

Affiliation:

1. University of Utah Robotics Center and Kahlert School of Computing, University of Utah, Salt Lake City, UT, USA

2. Georgia Tech, Georgia, USA

Funder

NSF

Defense Advanced Research Projects Agency

Sloan Research Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/8860/10365208/10418577-aam.pdf

Reference63 articles.

1. Learning to guide task and motion planning using score-space representation

2. Sample-Based Methods for Factored Task and Motion Planning

3. Learning value functions with relational state representations for guiding task-and-motion planning;Kim,2020

4. Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image

5. PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning

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. Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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