5 papers
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…
Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration Maps
Ning Liu, Sen Shen, Xiangrui Kong +2
Multi-Agent Pathfinding is used in areas including multi-robot formations, warehouse logistics, and intelligent vehicles. However, many environments are incomplete or frequently ch…
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…
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…
A Superalignment Framework in Autonomous Driving with Large Language Models
Xiangrui Kong, Thomas Braunl, Marco Fahmi +1
Over the last year, significant advancements have been made in the realms of large language models (LLMs) and multi-modal large language models (MLLMs), particularly in their appli…