A Framework for Learning Behavior Trees in Collaborative Robotic Applications-Reference-Cited by-同舟云学术

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A Framework for Learning Behavior Trees in Collaborative Robotic Applications

Published:2023-08-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
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Author:

Iovino Matteo¹,Styrud Jonathan²,Falco Pietro¹,Smith Christian²

Affiliation:

1. ABB Corporate Research,Västerås,Sweden

2. KTH - Royal Institute of Technology,Division of Robotics, Perception and Learning,Stockholm,Sweden

Funder

Knut and Alice Wallenberg Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260363.pdf?arnumber=10260363

Reference36 articles.

1. Recent Advances in Robot Learning from Demonstration

2. Robot learning from demonstration by constructing skill trees

3. Learning of Behavior Trees for Autonomous Agents

4. Skill acquisition from human demonstration using a hidden Markov model

5. Towards Blended Reactive Planning and Acting using Behavior Trees

Cited by 3 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. A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing;Robotics;2024-07-10

2. BeBOP - Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Learning Action Conditions for Automatic Behavior Tree Generation from Human Demonstrations;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

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