4 papers
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…
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…