6 papers
WirelessSenseLLM: Zero-Shot Human Activity Understanding by Bridging Wireless Signals and Human Language
Mahmuda Keya, Sneh Pillai, Jiawei Yuan +2
There is growing interest in enabling wireless sensing systems to interpret human motion from unsegmented wireless signals; however, existing CSI-based applications rely heavily on…
Ro-SLM: Onboard Small Language Models for Robot Task Planning and Operation Code Generation
Wenhao Wang, Yanyan Li, Long Jiao +1
Recent advances in large language models (LLMs) provide robots with contextual reasoning abilities to comprehend human instructions. Yet, current LLM-enabled robots typically depen…
LLM-Driven Corrective Robot Operation Code Generation with Static Text-Based Simulation
Wenhao Wang, Yi Rong, Yanyan Li +2
Recent advances in Large language models (LLMs) have demonstrated their promising capabilities of generating robot operation code to enable LLM-driven robots. To enhance the reliab…
NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
Hanyu Zhu, Lance Fiondella, Jiawei Yuan +2
Retrieval-Augmented Generation (RAG) empowers Large Language Models (LLMs) to dynamically integrate external knowledge during inference, improving their factual accuracy and adapta…
Large Language Model-Driven Closed-Loop UAV Operation with Semantic Observations
Wenhao Wang, Yanyan Li, Long Jiao +1
Recent advances in large Language Models (LLMs) have revolutionized mobile robots, including unmanned aerial vehicles (UAVs), enabling their intelligent operation within Internet o…
GSCE: A Prompt Framework with Enhanced Reasoning for Reliable LLM-driven Drone Control
Wenhao Wang, Yanyan Li, Long Jiao +1
The integration of Large Language Models (LLMs) into robotic control, including drones, has the potential to revolutionize autonomous systems. Research studies have demonstrated th…