Framework for Integrating Large Language Models with a Robotic Health Attendant for Adaptive Task Execution in Patient Care

Framework for Integrating Large Language Models with a Robotic Health Attendant for Adaptive Task Execution in Patient Care

The development of intelligent medical service robots for patient care presents significant challenges, particularly in integrating diverse knowledge sources and enabling robots to autonomously perform tasks in dynamic and unpredictable healthcare environments. This study introduces a novel framewor...

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Bibliographic Details
Main Authors: Kyungki Kim, John Windle, Melissa Christian, Tom Windle, Erica Ryherd, Pei-Chi Huang, Anthony Robinson, Reid Chapman
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
medical service robot
large language model (LLM)
Robotic Health Attendant
healthcare robot
ChatGPT
Online Access:https://www.mdpi.com/2076-3417/14/21/9922
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