Learning Hierarchical Robot Skills Represented by Behavior Trees from Natural Language

Author:

Wang Kaiyi,Zhao Yongjia,Dai Shuling,Yang Minghao,He Yichen,Zhang Ning

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Ahn, M., et al.: Do as i can, not as i say: grounding language in robotic affordances. arXiv preprint arXiv:2204.01691 (2022)

2. Cao, Y., Lee, C.: Robot behavior-tree-based task generation with large language models. arXiv preprint arXiv:2302.12927 (2023)

3. Chai, J.Y., Gao, Q., She, L., Yang, S., Saba-Sadiya, S., Xu, G.: Language to action: towards interactive task learning with physical agents. In: IJCAI, pp. 2–9 (2018)

4. Chen, Q., Zhuo, Z., Wang, W.: Bert for joint intent classification and slot filling. arXiv preprint arXiv:1902.10909 (2019)

5. Colledanchise, M., Natale, L.: On the implementation of behavior trees in robotics. IEEE Rob. Autom. Lett. 6(3), 5929–5936 (2021)

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