90 citations · 93 across the 2 of their papers we have counts for
2 papers
cs.RO2024★ 90 cited
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration
Haokun Liu, Yaonan Zhu, Kenji Kato +4
Large Language Models (LLMs) are gaining popularity in the field of robotics. However, LLM-based robots are limited to simple, repetitive motions due to the poor integration betwee…
cs.RO2023★ 3 cited
LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks
Haokun Liu, Yaonan Zhu, Kenji Kato +3
This paper presents a novel approach to enhance autonomous robotic manipulation using the Large Language Model (LLM) for logical inference, converting high-level language commands…