Semantic Scene Understanding for Human-Robot Interaction-Reference-Cited by-同舟云学术

Semantic Scene Understanding for Human-Robot Interaction

Published:2023-03-13 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
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Author:

Patel Maithili¹^ORCID,Dogan Fethiye Irmak²^ORCID,Zeng Zhen³^ORCID,Baraka Kim⁴^ORCID,Chernova Sonia¹^ORCID

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

2. KTH Royal Institute of Technology, Stockholm, Sweden

3. J.P.Morgan AI Research, New York, NY, USA

4. Vrije Universiteit (VU) Amsterdam, Amsterdam, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3568294.3579960

Reference19 articles.

1. Suneel Belkhale , Ethan K Gordon , Yuxiao Chen , Siddhartha Srinivasa , Tapomayukh Bhattacharjee , and Dorsa Sadigh . 2022 . Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. In 2022 International Conference on Robotics and Automation (ICRA). IEEE, 4757--4763 . Suneel Belkhale, Ethan K Gordon, Yuxiao Chen, Siddhartha Srinivasa, Tapomayukh Bhattacharjee, and Dorsa Sadigh. 2022. Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. In 2022 International Conference on Robotics and Automation (ICRA). IEEE, 4757--4763.

2. Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning

3. ENRICHME: Perception and Interaction of an Assistive Robot for the Elderly at Home

4. Fethiye Irmak Dougan , Gaspar I. Melsión , and Iolanda Leite . 2023 . Leveraging explainability for understanding object descriptions in ambiguous 3D environments . Frontiers in Robotics and AI , Vol. 9 (2023). https://doi.org/10.3389/frobt.2022.937772 10.3389/frobt.2022.937772 Fethiye Irmak Dougan, Gaspar I. Melsión, and Iolanda Leite. 2023. Leveraging explainability for understanding object descriptions in ambiguous 3D environments. Frontiers in Robotics and AI, Vol. 9 (2023). https://doi.org/10.3389/frobt.2022.937772

5. Asking Follow-Up Clarifications to Resolve Ambiguities in Human-Robot Conversation