选集:认知发展型人机机器人

IF 0.9 4区 计算机科学 Q4 ROBOTICS International Journal of Humanoid Robotics Pub Date : 2024-02-24 DOI:10.1142/s0219843624500026
Minoru Asada
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引用次数: 0

摘要

本文以认知发展型仿人机器人(CDHR)为背景,探讨了物理体现与社会互动的融合。通过对 "自我 "发展阶段的各种互动及其互动领域进行分类,讨论揭示了发展过程的复合本质的深刻见解。本文通过从胎儿与母亲的互动到先进的大型语言模型(如 ChatGPT)等不同互动场景的多维探索,揭示了存在的物理和社会领域之间的内在联系。总之,本文拓宽了我们对物理体现与社会互动之间错综复杂的相互作用的理解,为仿人机器人和人工智能领域更细致入微、更符合伦理道德的方法和探索奠定了基础。
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Anthology: Cognitive Developmental Humanoids Robotics

This paper explores the confluence of physical embodiment and social interaction in the context of Cognitive Developmental Humanoid Robotics (CDHR). By classifying varied interactions through developmental stages of the “self” and their interaction spheres, the discussion unearths profound insights into the composite nature of developmental processes. It presents a multi-dimensional exploration through different interaction scenarios, ranging from fetus-mother interactions to advanced large language models like ChatGPT, revealing the intrinsic connection between the physical and social realms of existence. In conclusion, this paper broadens the horizon of our understanding of the intricate interplays between physical embodiment and social interaction, setting the stage for more nuanced, ethically sound approaches and explorations in the realm of humanoid robotics and artificial intelligence.

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来源期刊
International Journal of Humanoid Robotics
International Journal of Humanoid Robotics 工程技术-机器人学
CiteScore
3.50
自引率
13.30%
发文量
29
审稿时长
6 months
期刊介绍: The International Journal of Humanoid Robotics (IJHR) covers all subjects on the mind and body of humanoid robots. It is dedicated to advancing new theories, new techniques, and new implementations contributing to the successful achievement of future robots which not only imitate human beings, but also serve human beings. While IJHR encourages the contribution of original papers which are solidly grounded on proven theories or experimental procedures, the journal also encourages the contribution of innovative papers which venture into the new, frontier areas in robotics. Such papers need not necessarily demonstrate, in the early stages of research and development, the full potential of new findings on a physical or virtual robot. IJHR welcomes original papers in the following categories: Research papers, which disseminate scientific findings contributing to solving technical issues underlying the development of humanoid robots, or biologically-inspired robots, having multiple functionality related to either physical capabilities (i.e. motion) or mental capabilities (i.e. intelligence) Review articles, which describe, in non-technical terms, the latest in basic theories, principles, and algorithmic solutions Short articles (e.g. feature articles and dialogues), which discuss the latest significant achievements and the future trends in robotics R&D Papers on curriculum development in humanoid robot education Book reviews.
期刊最新文献
Task-Oriented Self-Imitation Learning for Robotic Autonomous Skill Acquisition Celebrating 20th Anniversary of IJHR Editorial — Human-Like Locomotion and Manipulation: Current Achievements and Challenges (Part I) Anthology: Cognitive Developmental Humanoids Robotics Learning an Image-Based Visual Servoing Controller for Object Grasping
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