Reasoning With Scene Graphs for Robot Planning Under Partial Observability-Reference-Cited by-同舟云学术

Reasoning With Scene Graphs for Robot Planning Under Partial Observability

Published:2022-04 Issue:2 Volume:7 Page:5560-5567
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Amiri Saeid^ORCID,Chandan Kishan^ORCID,Zhang Shiqi^ORCID

Funder

National Science Foundation

Ford Motor Company

OPPO

SUNY Research Foundation

Autonomous Intelligent Robotics

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/ielx7/7083369/9647862/09730031.pdf?arnumber=9730031

Reference48 articles.

1. Online Planning for Target Object Search in Clutter under Partial Observability

2. Act to See and See to Act: POMDP planning for objects search in clutter

3. Using reward machines for high-level task specification and decomposition in reinforcement learning;icarte;Proc Int Conf Mach Learn,0

4. PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

5. Incremental object grounding using scene graphs;yi,2022

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