RE:BT-Espresso: Improving Interpretability and Expressivity of Behavior Trees Learned from Robot Demonstrations-Reference-Cited by-同舟云学术

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

Author:

Wathieu Adam¹,Groechel Thomas R.²,Lee Haemin Jenny²,Kuo Chloe²,Mataric Maja J.²

Affiliation:

1. Northwestern University,Department of Computer Science,Evanston,IL,USA,60208

2. University of Southern California,Interaction Lab,Department of Computer Science,Los Angeles,CA,USA,90089

Funder

NSF

Publisher

IEEE

Link

Reference26 articles.

1. Gdc 2005 proceeding: Handling complexity in the halo 2 ai;isla;Retrieved October,2005

Cited by 8 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. Evaluating behavior trees;Robotics and Autonomous Systems;2024-08

2. Communicating Intent as Behaviour Trees for Decentralised Multi-Robot Coordination;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. WE-BTR: A Behavior Tree Recommendation Method Based on Word Embedding;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

5. A Framework for Learning Behavior Trees in Collaborative Robotic Applications;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26