Learning Behavior Trees From Planning Experts Using Decision Tree and Logic Factorization-Reference-Cited by-同舟云学术

Learning Behavior Trees From Planning Experts Using Decision Tree and Logic Factorization

Published:2023-06 Issue:6 Volume:8 Page:3534-3541
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Gugliermo Simona¹^ORCID,Schaffernicht Erik¹^ORCID,Koniaris Christos²^ORCID,Pecora Federico¹^ORCID

Affiliation:

1. Center for Applied Autonomous Sensor Systems, Örebro University, Örebro, Sweden

2. Intelligent Transport Systems, Scania CV AB, Södertälje, Sweden

Funder

Swedish Foundation for Strategic Research

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/ielx7/7083369/10102643/10105979.pdf?arnumber=10105979

Reference31 articles.

1. RE:BT-Espresso: Improving Interpretability and Expressivity of Behavior Trees Learned from Robot Demonstrations

2. Building behavior trees from observations in real-time strategy games

3. Towards a unified behavior trees framework for robot control

4. A survey of Behavior Trees in robotics and AI

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