New Reserach Article: Human-Robot Communication with GPT-Based Large Language Models
![Teaser image GPT-based large language model for variable autonomy in a VR-based human-robot teaming simulation An image portraying a user on the right, interacting with the three simulated robot agents, Neptune (in blue), Jupiter (in yellow) and Pluto (in red) in the virtual world on the left via a VR headset and controller.](/storages/ihri-reha/_processed_/5/2/csm_frobt-11-1347538-g001_e636f3ea84.jpg)
We are excited to announce the publication of our latest research paper, exploring a GPT-based in human-robot teaming.
We are excited to announce the publication of our latest research paper, "Exploring a GPT-based large language model for variable autonomy in a VR-based human-robot teaming simulation". As autonomous tools and robots become integral to our digital landscape, our research delves into the cutting-edge integration of Large Language Models (LLMs) like Generative Pre-trained Transformer (GPT) in human-robot teaming environments.
The core of our study involved a user study with 12 participants, exploring the effectiveness of GPT-4 in facilitating natural language interaction within a simulated multi-robot environment. Our findings revealed that while users often approached the interaction with preconceived notions about communicating with robots, those who experimented with the system experienced a more natural and human-like exchange.
We invite you to explore our full findings and join us in the ongoing conversation about the future of human-robot collaboration: https://doi.org/10.3389/frobt.2024.1347538.