机器人
计算机科学
任务(项目管理)
运动(物理)
运动控制
复制
手势
社交机器人
机器人控制
人机交互
自然语言
经济短缺
人工智能
移动机器人
工程类
语言学
哲学
系统工程
政府(语言学)
法学
政治学
作者
Yuki Tanaka,Seiichiro Katsura
标识
DOI:10.1109/icm54990.2023.10101966
摘要
In recent years, the shortage of professionally skilled people in industrial fields has been a major social problem. To solve this problem, the transfer of skills to robots has been attracting much attention. However, they are not familiar with robot control, and hard to teach robots their skills by numerical commands or program source code. For more user-friendly human-robot interaction, a lot of studies have been conducted. In previous researches, robot task processes are pre-defined and not changed in task execution. We developed a robot system using the motion-copying system and GPT-3, one of the Large Language Models. This system can not only copy the motion but also modify saved motion in execution by using natural language commands. We evaluated the proposed system by applying it to polishing robots and confirmed that the surface of used workpieces was changed following to input commands.
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