36 citations · 36 across the 2 of their papers we have counts for
2 papers
cs.RO2025
LangGrasp: Leveraging Fine-Tuned LLMs for Language Interactive Robot Grasping with Ambiguous Instructions
Yunhan Lin, Wenqi Wu, Zhijie Zhang +1
The existing language-driven grasping methods struggle to fully handle ambiguous instructions containing implicit intents. To tackle this challenge, we propose LangGrasp, a novel l…
cs.RO2024★ 36 cited
LLM-BT: Performing Robotic Adaptive Tasks based on Large Language Models and Behavior Trees
Haotian Zhou, Yunhan Lin, Longwu Yan +2
Large Language Models (LLMs) have been widely utilized to perform complex robotic tasks. However, handling external disturbances during tasks is still an open challenge. This paper…