中国机械工程2024,Vol.35Issue(7) :1241-1252.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 谭跃刚
中国机械工程2024,Vol.35Issue(7) :1241-1252.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
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作者信息

  • 1. 武汉理工大学机电工程学院,武汉,430070
  • 折叠

摘要

机器人与ChatGPT的融合可形成具有人类智慧特征的"硅智能体",定义为"生成式预训练模型机器人".以ChatGPT和机器人的智能融合为对象,阐述了 GPT-R的特点、技术趋势及在工业和人类生活中的应用.分析了 GPT-R在体力、智力及与人类共融发展中存在的问题,从GPT-R的本体与智能、法律与安全、社会规则三方面给出相应对策.结合了 ChatGPT和机器人技术的GPT-R将拥有越来越广泛的应用场景和越来越大的市场潜力,成为未来人工智能和机器人共融发展的重要方向之一.

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

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出版年

2024
中国机械工程
中国机械工程学会

中国机械工程

CSTPCD北大核心
影响因子:0.678
ISSN:1004-132X
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