Causal-HRI: Causal Learning for Human-Robot Interaction-Reference-Cited by-同舟云学术

Causal-HRI: Causal Learning for Human-Robot Interaction

Published:2024-03-11 Issue: Volume:35 Page:1311-1313
ISSN:
Container-title:Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
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Author:

Cheong Jiaee¹^ORCID,Churamani Nikhil²^ORCID,Guerdan Luke³^ORCID,Lee Tabitha Edith³^ORCID,Han Zhao⁴^ORCID,Gunes Hatice²^ORCID

Affiliation:

1. University of Cambridge & The Alan Turing Institute, Cambridge, United Kingdom

2. University of Cambridge, Cambridge, United Kingdom

3. Carnegie Mellon University, Pittsburgh, PA, USA

4. University of South Florida, Tampa, FL, USA

Funder

EPSRC

Leverhulme Trust

National Science Foundation

Google

The Alan Turing Institute

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610978.3638157

Reference21 articles.

1. Ricardo Cannizzaro, Jonathan Routley, and Lars Kunze. 2023. Towards a Causal Probabilistic Framework for Prediction, Action-Selection & Explanations for Robot Block-Stacking Tasks. arXiv preprint arXiv:2308.06203 (2023).

2. Luca Castri Sariah Mghames and Nicola Bellotto. 2023. From Continual Learning to Causal Discovery in Robotics. In AAAI Bridge Program on Continual Causality. PMLR 85--91.

3. Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, Kasim Selcuk Candan, and Huan Liu. 2022. Evaluation Methods and Measures for Causal Learning Algorithms. IEEE Transactions on Artificial Intelligence (2022).

4. Nikhil Churamani Jiaee Cheong Sinan Kalkan and Hatice Gunes. 2023. Towards Causal Replay for Knowledge Rehearsal in Continual Learning. In AAAI Bridge Program on Continual Causality. PMLR 63--70.

5. Why Did I Fail? A Causal-Based Method to Find Explanations for Robot Failures