A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot

IF 1.4 Q4 ROBOTICS Journal of Robotics Pub Date : 2023-05-19 DOI:10.1155/2023/5589845
Nguyen Minh Trieu, Nguyen Truong Thinh
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Abstract

The development of robotics is undeniable in recent years. Many developing contries face the growth of the elderly population, it is the premise and impetus for the development of research on humanoid robots to serve humans. Many studies on various aspects of robotics are carried out in different parts of the world. Many novel methods were introduced for the design of the robot’s external appearance, internal mechanisms, and gestures. Recent research on humanoid robots is designed to appear to be copies of the anthropometric indicators of real people, which may affect the security of other people’s identities. Besides, these robots cause a feeling of horror in the user if their appearance is in the position of the uncanny valley. Therefore, these designs need to be carefully considered before fabrication. Artificial skin is studied for various purposes such as ensuring collision safety for industrial users and helping robots to perceive basic tactile sensations. This review consists of the recent literature on the interaction of appearance and behavior of robot interaction, artificial skin, and especially humanoid robots, including appearance, such as android and Geminoid robots. This work can provide a reference for humanoid robot research, including uncanny valley hypotheses, artificial skin, and humanoid robots.
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外观与行为交互、人工皮肤与仿人机器人综述
近年来机器人技术的发展是不可否认的。许多发展中国家都面临着老年人口的增长,为人类服务是人形机器人研究发展的前提和动力。许多关于机器人各个方面的研究在世界不同地区进行。介绍了许多新颖的方法来设计机器人的外观、内部机构和手势。最近对人形机器人的研究被设计成真人人体测量指标的复制品,这可能会影响他人身份的安全性。此外,如果这些机器人的外观处于神秘山谷的位置,用户会感到恐怖。因此,在制造之前需要仔细考虑这些设计。人工皮肤被研究用于各种目的,例如确保工业用户的碰撞安全和帮助机器人感知基本触觉。这篇综述包括最近关于机器人交互的外观和行为交互的文献,人造皮肤,尤其是人形机器人,包括外观,如机器人和Geminoid机器人。这项工作可以为人形机器人的研究提供参考,包括神秘谷假说、人造皮肤和人形机器人。
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来源期刊
CiteScore
3.70
自引率
5.60%
发文量
77
审稿时长
22 weeks
期刊介绍: Journal of Robotics publishes papers on all aspects automated mechanical devices, from their design and fabrication, to their testing and practical implementation. The journal welcomes submissions from the associated fields of materials science, electrical and computer engineering, and machine learning and artificial intelligence, that contribute towards advances in the technology and understanding of robotic systems.
期刊最新文献
Nonlinear Attitude and Altitude Trajectory Tracking Control of a Bicopter UAV in Geometric Framework Dynamic Modeling of Unmanned Underwater Vehicles with Online Disturbance Compensation Scheme Hierarchical Stabilization and Tracking Control of a Flexible-Joint Bipedal Robot Based on Anti-Windup and Adaptive Approximation Control The Navigation of Home Service Robot Based on Deep Learning and Machine Learning The Navigation of Home Service Robot Based on Deep Learning and Machine Learning
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