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生成式预训练模型机器人及其潜力与挑战

张帆 谭跃刚

中国机械工程2024,Vol.35Issue(7):1241-1252,12.
中国机械工程2024,Vol.35Issue(7):1241-1252,12.DOI:10.3969/j.issn.1004-132X.2024.07.012

生成式预训练模型机器人及其潜力与挑战

Potential and Challenges for GPT Robots

张帆 1谭跃刚1

作者信息

  • 1. 武汉理工大学机电工程学院,武汉,430070
  • 折叠

摘要

Abstract

The fusion of robots and ChatGPT might create"silicon intelligence entity"with hu-man-like intelligence and advantages,defined as"GPT-R".The characteristics,technological trends,and applications of GPT-R were explored in industrial and human life domains,with a focus on the in-tegration of ChatGPT and robot intelligence.The challenges of GPT-R in physical abilities,intelli-gence,and coexistence with humans were analyzed,and the corresponding strategies from robotic body and intelligence of GPT-R,law and security issue,and social rules were proposed.The GPT-R,which integrated ChatGPT and robotics technology,will be expected to have increasingly broad appli-cations and market potential,and will become one of the crucial directions in the future development of the integration of artificial intelligence and robotics.

关键词

生成式预训练模型机器人/人工智能/硅智能体/共融发展

Key words

GPT-R(generative pre-trained transformer-robot)/artificial intelligence/silicon intel-ligent entity/coexistence development

分类

信息技术与安全科学

引用本文复制引用

张帆,谭跃刚..生成式预训练模型机器人及其潜力与挑战[J].中国机械工程,2024,35(7):1241-1252,12.

中国机械工程

OA北大核心CSTPCD

1004-132X

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