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Int. J. Humanoid Robotics最新文献

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Human-Robot Interactive Communication and Cognitive Psychology Intelligent Decision System Based on Artificial Intelligence - Case Study 基于人工智能的人机交互交流与认知心理智能决策系统——案例研究
Pub Date : 2022-04-28 DOI: 10.1142/s0219843622400059
Xingyun Gong, Xiaojun Li
Cognitive psychology is a science of human knowledge, which means that people perceive, acquire, memorize, think, and comprehend intellectual capabilities. The psychological strategy involves controlling every action and status of the human body. The problematic states of psychological facts include mental disorders like depression, stress, anxiety, and inferiority complex, leading to memory loss. The emerged technique of cognitive psychological managing framework using artificial intelligence (CPMF-AI) is introduced. The proposed framework is extended to forecast the psychological standards of the human brain for practical well-being. There are four methods to monitor memory power, stress, and other human mental disorders. They are distant neural systems (DNS), convolutional psychology tracking systems (CPTS), intelligent neural systems (INS), and memory-building strategies (MBS). Besides language aspects, physical aspects play a vital part in human–robot interaction (HRI) and make the difference compared to the more limited HRI communication. These methodologies are integrated into four case studies to detect neural passage systems for monitoring mental issues. The simulation analysis helps enhance the framework’s accuracy and minimize the error rate. Thus, the proposed system of cognitive technology is comparatively better than the existing methods.
认知心理学是一门关于人类知识的科学,它是指人们感知、获取、记忆、思考和理解智力的能力。心理策略包括控制人体的每一个动作和状态。心理事实的问题状态包括精神障碍,如抑郁、压力、焦虑和自卑,导致记忆丧失。介绍了基于人工智能的认知心理管理框架(CPMF-AI)的新兴技术。提出的框架被扩展到预测人类大脑的心理标准,以实现实际的幸福。有四种方法可以监测记忆力、压力和其他人类精神障碍。它们是远程神经系统(DNS)、卷积心理跟踪系统(CPTS)、智能神经系统(INS)和记忆构建策略(MBS)。除了语言方面,身体方面在人机交互(HRI)中起着至关重要的作用,与更有限的HRI交流相比,身体方面起着重要作用。这些方法被整合到四个案例研究中,以检测监测心理问题的神经通道系统。仿真分析有助于提高框架的精度,降低错误率。因此,所提出的认知技术系统相对于现有的方法是更好的。
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引用次数: 0
A Bayesian Deep Learning Network System Based on Edge Computing 基于边缘计算的贝叶斯深度学习网络系统
Pub Date : 2022-04-25 DOI: 10.1142/s0219843622500086
Lei Liu
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引用次数: 1
Robot Translation Based on Computer Vision for Cultural Psychology of English Culture Education 基于计算机视觉的英语文化教育文化心理机器人翻译
Pub Date : 2022-04-24 DOI: 10.1142/s0219843622500062
Xue Zheng
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引用次数: 1
Responsive Policy Decisions for Improving the Accuracy of Medical Data Analysis in Healthcare-Based Human-Machine Interaction Systems 在基于医疗保健的人机交互系统中提高医疗数据分析准确性的响应性决策
Pub Date : 2022-04-23 DOI: 10.1142/s0219843622400072
Ahmed Altameem, M. S. Akhtar, T. Altameem, Hassan Fouad, Sukumaran Anil, Young Soon Kim, Ahmed E. Youssef
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引用次数: 0
Could NAO Robot Function as Model Demonstrating Joint Attention Skills for Children with Autism Spectrum Disorder? An Exploratory Study NAO机器人能否作为自闭症谱系障碍儿童联合注意技能的示范模型?一项探索性研究
Pub Date : 2022-04-20 DOI: 10.1142/s0219843622400060
Hoang-Long Cao, Ramona Simut, N. Krepel, B. Vanderborght, J. Vanderfaeillie
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引用次数: 1
Humanoids' Feet: State-of-the-Art & Future Directions 类人机器人的脚:最新技术和未来方向
Pub Date : 2022-03-30 DOI: 10.1142/s0219843622500013
Irene Frizza, K. Ayusawa, A. Cherubini, Hiroshi Kaminaga, P. Fraisse, G. Venture
Robotic feet play a fundamental role in the walking performance of a biped robot. Feet are essential to maintain dynamic stability and to propel the body during walking. They may ensure stability on uneven terrains. Yet, complex feet are seldom used on humanoids. This paper surveys 36 types of robotic feet we found in the literature. We classified them according to strategy, capabilities, structure, number of degrees of freedom, actuation method of ankle and foot, type of actuator, sensorization and type of control. Subsequently, we analyzed the dynamic and static models of flexible feet. We discussed considerations on foot dynamics or kinematics in the robot’s whole body control system. We analyzed both active joints control for feet including actuated joints, and control for feet with elastic elements (for example, a rubber layer in the sole). Finally, we present some limitations of robotic feet and possible future developments.
机器人脚在双足机器人的行走性能中起着至关重要的作用。脚对于保持动态稳定性和在行走过程中推动身体是必不可少的。它们可以在不平坦的地形上保持稳定。然而,复杂的脚很少用于人形机器人。本文调查了我们在文献中发现的36种机器人脚。我们根据策略、能力、结构、自由度数量、踝关节和足部驱动方式、执行器类型、传感器和控制类型对它们进行了分类。随后,我们分析了柔性足的动态和静态模型。我们讨论了机器人全身控制系统中足部动力学或运动学的考虑。我们分析了包括驱动关节在内的足部主动关节控制,以及具有弹性元件(例如鞋底橡胶层)的足部控制。最后,我们提出了机器人脚的一些局限性和可能的未来发展。
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引用次数: 2
Optimizing Vertical Jumping Height of Single-Legged Robots with Passive TOE Joints Using the Genetic Algorithm 基于遗传算法的被动趾关节单足机器人垂直起跳高度优化
Pub Date : 2022-03-12 DOI: 10.1142/s0219843622500025
Mohammad Mahdi Moslemi, Majid Sadedel, M. Moghadam
Legged robots have been interesting for researchers because they can move on uneven terrain and operate in dangerous areas for humans. Among these robots, the single-legged robot is an excellent choice to study because they are simpler than another legged robot. In this paper, we have designed a single-legged robot similar to the anatomy of the human leg. It consists of four active joints and one passive joint. The hip, knee, and ankle joint are considered active joints, and the toe joint is a passive joint. To make the simulation more accurate, we should define the physical property of the environment in detail. So, ground contact and friction model should be specified. After defining the robot model, we designed joint motion. Path planning aims to make the robot jump in the vertical direction. Besides, the robot must start jumping on the toe joint. The toe joint stiffness and damping play the leading role in jumping height. So, there should be optimum values for these parameters. The genetic algorithm is then used to optimize jumping height.
研究人员对有腿机器人很感兴趣,因为它们可以在不平坦的地形上移动,并在对人类来说危险的地区工作。在这些机器人中,单腿机器人是一个很好的选择,因为它们比其他有腿的机器人更简单。在本文中,我们设计了一个类似于人腿解剖结构的单腿机器人。它由四个主动关节和一个被动关节组成。髋关节、膝关节和踝关节被认为是主动关节,而脚趾关节是被动关节。为了使模拟更加准确,我们应该详细定义环境的物理性质。因此,应指定与地面的接触和摩擦模型。在确定机器人模型后,进行关节运动设计。路径规划的目的是使机器人在垂直方向上跳跃。此外,机器人必须从脚趾关节开始跳跃。趾关节刚度和阻尼对跳跃高度起主导作用。所以这些参数应该有最优值。然后利用遗传算法优化跳跃高度。
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引用次数: 1
Technological Implication of the Digital Twin Approach on the Intelligent Education System 数字孪生方法对智能教育系统的技术意义
Pub Date : 2022-03-07 DOI: 10.1142/s0219843622500050
Minghong She, Min Xiao, Yongchi Zhao
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引用次数: 0
Modeling and Simulation of Reinforcement Mechanism in Preventing the Dysfunction of a Bellow-Like Artificial Muscle 预防风箱样人工肌肉功能障碍的强化机制建模与仿真
Pub Date : 2022-03-01 DOI: 10.1142/s0219843622500037
Ze Wu, J. Lei
{"title":"Modeling and Simulation of Reinforcement Mechanism in Preventing the Dysfunction of a Bellow-Like Artificial Muscle","authors":"Ze Wu, J. Lei","doi":"10.1142/s0219843622500037","DOIUrl":"https://doi.org/10.1142/s0219843622500037","url":null,"abstract":"","PeriodicalId":312776,"journal":{"name":"Int. J. Humanoid Robotics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127777573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Art Therapy for Children with Autism by Using the Implemented Artificial Intelligence System 应用可实现的人工智能系统对自闭症儿童进行艺术治疗的分析
Pub Date : 2022-03-01 DOI: 10.1142/s0219843622400023
Bo Hu
{"title":"Analysis of Art Therapy for Children with Autism by Using the Implemented Artificial Intelligence System","authors":"Bo Hu","doi":"10.1142/s0219843622400023","DOIUrl":"https://doi.org/10.1142/s0219843622400023","url":null,"abstract":"","PeriodicalId":312776,"journal":{"name":"Int. J. Humanoid Robotics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114367359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Int. J. Humanoid Robotics
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