4 citations · 7 across the 13 of their papers we have counts for
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Enhancing Reliability in LLM-Integrated Robotic Systems: A Unified Approach to Security and Safety
Wenxiao Zhang, Xiangrui Kong, Conan Dewitt +2
Integrating large language models (LLMs) into robotic systems has revolutionised embodied artificial intelligence, enabling advanced decision-making and adaptability. However, ensu…
A Study on Prompt Injection Attack Against LLM-Integrated Mobile Robotic Systems
Wenxiao Zhang, Xiangrui Kong, Conan Dewitt +2
The integration of Large Language Models (LLMs) like GPT-4o into robotic systems represents a significant advancement in embodied artificial intelligence. These models can process…
SafeEmbodAI: a Safety Framework for Mobile Robots in Embodied AI Systems
Wenxiao Zhang, Xiangrui Kong, Thomas Braunl +1
Embodied AI systems, including AI-powered robots that autonomously interact with the physical world, stand to be significantly advanced by Large Language Models (LLMs), which enabl…
Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models
Xiangrui Kong, Wenxiao Zhang, Jin Hong +1
In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities in understanding and solving mathematical problems, leading to advancements in various field…