Leveraging Large Language Models and Speech Instructions for Constrained Robotic Navigation on Preferred Terrains
This paper proposes a method for map-free off-road navigation using large language models (LLMs) and speech instructions, enabling robots to navigate towards preferred terrains while considering adverbs as constraints.