Transition State Clustering for Interaction Segmentation and Learning-Reference-Cited by-同舟云学术

Transition State Clustering for Interaction Segmentation and Learning

Published:2024-03-11 Issue: Volume:9 Page:512-516
ISSN:
Container-title:Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
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Author:

Hahne Fabian¹^ORCID,Prasad Vignesh¹^ORCID,Kshirsagar Alap¹^ORCID,Koert Dorothea²^ORCID,Stock-Homburg Ruth Maria¹^ORCID,Peters Jan³^ORCID,Chalvatzaki Georgia⁴^ORCID

Affiliation:

1. Technische Universität Darmstadt, Darmstadt, Germany

2. Technische Universität Darmstadt & Technische Universität Darmstadt, Darmstadt, Germany

3. Technische Universität Darmstadt & German Research Center for AI, Darmstadt, Germany

4. Technische Universität Darmstadt & Hessian Centre for AI, Darmstadt, Germany

Funder

German Research Foundation (DFG) Emmy Noether Programme

HORIZON EUROPE European Research Council

Hessian Ministry of Higher Education, Science, Research and Art

German Federal Ministry of Education and Research (BMBF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610978.3640738

Reference15 articles.

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4. Teaching physical collaborative tasks: object-lifting case study with a humanoid

5. Greg Hamerly and Charles Elkan. 2003. Learning the k in k-means. Advances in neural information processing systems 16.