To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions
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arXiv
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| Hauptverfasser: | , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866908335101444096 |
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| author | Tanneberg, Daniel Ocker, Felix Hasler, Stephan Deigmoeller, Joerg Belardinelli, Anna Wang, Chao Wersing, Heiko Sendhoff, Bernhard Gienger, Michael |
| author_facet | Tanneberg, Daniel Ocker, Felix Hasler, Stephan Deigmoeller, Joerg Belardinelli, Anna Wang, Chao Wersing, Heiko Sendhoff, Bernhard Gienger, Michael |
| contents | How can a robot provide unobtrusive physical support within a group of humans? We present Attentive Support, a novel interaction concept for robots to support a group of humans. It combines scene perception, dialogue acquisition, situation understanding, and behavior generation with the common-sense reasoning capabilities of Large Language Models (LLMs). In addition to following user instructions, Attentive Support is capable of deciding when and how to support the humans, and when to remain silent to not disturb the group. With a diverse set of scenarios, we show and evaluate the robot's attentive behavior, which supports and helps the humans when required, while not disturbing if no help is needed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_12533 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions Tanneberg, Daniel Ocker, Felix Hasler, Stephan Deigmoeller, Joerg Belardinelli, Anna Wang, Chao Wersing, Heiko Sendhoff, Bernhard Gienger, Michael Robotics Artificial Intelligence I.2.8; I.2.9 How can a robot provide unobtrusive physical support within a group of humans? We present Attentive Support, a novel interaction concept for robots to support a group of humans. It combines scene perception, dialogue acquisition, situation understanding, and behavior generation with the common-sense reasoning capabilities of Large Language Models (LLMs). In addition to following user instructions, Attentive Support is capable of deciding when and how to support the humans, and when to remain silent to not disturb the group. With a diverse set of scenarios, we show and evaluate the robot's attentive behavior, which supports and helps the humans when required, while not disturbing if no help is needed. |
| title | To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions |
| topic | Robotics Artificial Intelligence I.2.8; I.2.9 |
| url | https://arxiv.org/abs/2403.12533 |