Designing Social Robots with LLMs for Engaging Human Interaction
Large Language Models (LLMs), particularly those enhanced through Reinforcement Learning from Human Feedback, such as ChatGPT, have opened up new possibilities for natural and open-ended spoken interaction in social robotics. However, these models are not inherently designed for embodied, multimodal...
Saved in:
| Main Authors: | Maria Pinto-Bernal, Matthijs Biondina, Tony Belpaeme |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/11/6377 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring LLM-powered multi-session human-robot interactions with university students
by: Mauliana Mauliana, et al.
Published: (2025-06-01) -
Building for speech: designing the next-generation of social robots for audio interaction
by: Angus Addlesee, et al.
Published: (2025-01-01) -
COMMUNICATION BARRIERS OF UKRAINIAN CITIZENS DURING COMMUNICATION IN A FOREIGN LANGUAGE
by: Harkusha Inesa, et al.
Published: (2022-12-01) -
Large language models for depression recognition in spoken language integrating psychological knowledge
by: Yupei Li, et al.
Published: (2025-08-01) -
ANALISIS KEKELIRUAN BAHASA LISAN DAN TULISAN PADA ANAK USIA 6-7 TAHUN BERDASARKAN KONTEKS WACANA
by: Zayin Zakiya Umma Taqwa, et al.
Published: (2024-11-01)