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Obstacle Avoidance Gloves for the Blind Based on Ultrasonic Sensor 基于超声传感器的盲人避障手套
Pub Date : 2019-08-12 DOI: 10.4236/ICA.2019.103007
Ruochuan Zhou
Ranging based on the reflection principle of ultrasonic wave propagating in the air has been widely used in modern life, such as car reversing radar, robot automatic obstacle avoidance etc. Aiming at the situation that the blinds have no way to know whether there are obstacles or big safety risks in front of them when they are walking, this paper designed obstacle avoidance gloves for the blinds based on ultrasonic sensors. With Arduino Nano single chip microcomputer as main controller, combined with ultrasonic sensor module, bluetooth module and speaker module, the glove realized the function of obstacle detection and alarm. The main working principle is by using the ultrasonic sensors to transmit and receive ultrasonic, the time difference for transmitting and receiving to detect the distance of obstacles ahead. Besides, by means of voice module output audio signals with different frequency according to the obstacle distance, the blinds can judge the distance between them to the obstacles based on the sound with different frequencies they heard. In this way, they can make responses in advance to avoid the obstacles ahead and the happening of the risk.
基于超声波在空气中传播的反射原理的测距在现代生活中得到了广泛应用,如汽车倒车雷达、机器人自动避障等。针对百叶窗在行走时无法知道前方是否有障碍物或存在较大安全风险的情况,本文设计了一种基于超声波传感器的百叶窗避障手套。该手套以Arduino Nano单片机为主控制器,结合超声波传感器模块、蓝牙模块和扬声器模块,实现了障碍物检测和报警功能。其主要工作原理是利用超声波传感器发射和接收超声波,利用发射和接收的时间差检测前方障碍物的距离。此外,通过语音模块根据障碍物距离输出不同频率的音频信号,百叶窗可以根据听到的不同频率的声音来判断它们与障碍物的距离。通过这种方式,他们可以提前做出反应,避免前方的障碍和风险的发生。
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引用次数: 1
Practical Application of a Tongue-Operated Joystick Device with Force Feedback Mechanism 带力反馈机构的舌操纵杆装置的实际应用
Pub Date : 2019-05-29 DOI: 10.4236/ICA.2019.103006
S. Kajikawa, Taku Ohba
The human tongue has superior movement and tactile sensations. For individuals with severe disabilities, a tongue operated interface device can be used to operate life-support equipment, such as powered wheelchairs and robotic manipulators. A joystick-type device can directly translate various tongue motions to external equipment behavior. In addition, the user can interactively communicate with the equipment by tactile feedback. This helps the user to control the equipment safely and skillfully. Considering these factors, in a previous study [1], we developed a novel tongue-operated joystick device with reaction force feedback mechanism. We described the design process including the analysis of human tongue movement and tactile sensations and showed fundamental performances of reaction force feedback with the prototype device. In this study, we discuss the shape of the operational part that is used by the tongue. Two types of operational tools are prepared and their operability and perception of reaction force feedback are compared. Furthermore, we confirm the effectiveness of reaction force feedback to operate the joystick device safely and skillful controlling a mobile robot in an unknown environment.
人类的舌头具有优越的运动和触觉。对于有严重残疾的人来说,舌头操作的接口设备可以用来操作生命支持设备,比如电动轮椅和机器人操纵器。操纵杆式装置可以直接将各种舌头运动转换为外部设备行为。此外,用户可以通过触觉反馈与设备进行交互交流。这有助于用户安全、熟练地控制设备。考虑到这些因素,在之前的研究b[1]中,我们开发了一种具有反作用力反馈机制的新型舌控操纵杆装置。我们描述了设计过程,包括对人类舌头运动和触觉的分析,并展示了原型装置的反作用力反馈的基本性能。在这项研究中,我们讨论了舌头使用的操作部分的形状。制备了两种作战工具,并对其可操作性和反作用力反馈感知进行了比较。此外,我们还验证了反作用力反馈对操纵杆装置在未知环境中安全、熟练地控制移动机器人的有效性。
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引用次数: 0
Kinect-Based Motion Recognition Tracking Robotic Arm Platform 基于运动学的运动识别跟踪机械臂平台
Pub Date : 2019-05-29 DOI: 10.4236/ICA.2019.103005
Jinxiao Gao, Yinan Chen, Fuhao Li
The development of artificial intelligence technology has promoted the rapid improvement of human-computer interaction. This system uses the Kinect visual image sensor to identify human bone data and complete the recognition of the operator’s movements. Through the filtering process of real-time data by the host computer platform with computer software as the core, the algorithm is programmed to realize the conversion from data to control signals. The system transmits the signal to the lower computer platform with Arduino as the core through the transmission mode of the serial communication, thereby completing the control of the steering gear. In order to verify the feasibility of the theory, the team built a 4-DOF robotic arm control system and completed software development. It can display other functions such as the current bone angle and motion status in real time on the computer operation interface. The experimental data shows that the Kinect-based motion recognition method can effectively complete the tracking of the expected motion and complete the grasping and transfer of the specified objects, which has extremely high operability.
人工智能技术的发展促进了人机交互的快速提高。该系统利用Kinect视觉图像传感器识别人体骨骼数据,完成对操作者动作的识别。通过以计算机软件为核心的上位机平台对实时数据进行滤波处理,编写算法实现数据到控制信号的转换。系统通过串口通信的传输方式将信号传输到以Arduino为核心的下位机平台,从而完成对舵机的控制。为了验证理论的可行性,团队搭建了一个四自由度机械臂控制系统,并完成了软件开发。可在计算机操作界面上实时显示当前骨骼角度、运动状态等其他功能。实验数据表明,基于kinect的运动识别方法能够有效地完成对预期运动的跟踪,完成对指定物体的抓取和转移,具有极高的可操作性。
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引用次数: 5
The Optimization of Humanoid Robot’s Dialog in Improving Communication between Humanoid Robot and Older Adults 改善仿人机器人与老年人通信的仿人机器人对话优化
Pub Date : 2019-05-29 DOI: 10.4236/ICA.2019.103008
M. Miyagawa, Yuko Yasuhara, T. Tanioka, R. Locsin, W. Kongsuwan, E. Catangui, Kazuyuki Matsumoto
Older adults with dementia are increasing in Japan. Because of this, “communication robots” are being introduced into nursing settings to substitute for the shortage of nurses and other care workers. Our research group is currently developing a humanoid nursing robot with caring function (HNR), specifically for the functional and practical use of older adults with dementia. The purpose of this study was to clarify improvement points of the current function of humanoid robot’s (Pepper) (SoftBank Robotics) dialog pattern for improving optimal communication between humanoid robot and older adults. Dialog programs were installed in the humanoid robot Pepper, including the application program Care Prevention Gymnastics Exercises for Pepper (Pepper-CPGE) that was made by Xing Company, Japan. Dialogues between older adults and Pepper-CPGE were recorded by video camera. Data from transcriptions of the conversations captured from video and from field notes were analyzed focusing on human-robot interaction. From the recorded scenes and conversations, the following were points to be improved: 1) Intonation of the words vocalized by Pepper-CPGE was different from that expected by the older adult resulted in inappropriate responses by the older adult; 2) The timing between Pepper’s questions and the responses of the older adult were not timely and did not match (differences in the question-response time), which lead to confusion among the older adults; and 3) Other surroundings older adults were interested in the dialogue with Pepper-CPGE. However, Pepper-CPGE cannot communicate with multiple older adults. ImprovingPepper-CPGE’s ability to communicate with multiple older adults as an older adult’s dialogue with Pepper-CPGE can cause other older adults to also interact not only with the older adult that Pepper-CPGE is interacting with but also with Pepper-CPGE. This study shows that transactive relations among humanoid robots and older adults can be facilitated. Improving communication between humanoid robots and the older adults by optimizing a structured dialogue is needed to enhance appropriate engagement and participation. It is necessary to create a “Caring dialogue Database” for HNRs in order to know the patient/client and to share the aesthetic experiences of human-robot interactions. Also, it is important to develop a dialog pattern that enables humanoid robots to sympathize with older adults.
在日本,老年痴呆症患者正在增加。正因为如此,“通信机器人”被引入护理环境,以取代护士和其他护理人员的短缺。我们的研究小组目前正在开发一种具有护理功能的人形护理机器人(HNR),专门用于老年痴呆症患者的功能和实际使用。本研究的目的是澄清人形机器人(Pepper) (SoftBank Robotics)对话模式当前功能的改进点,以改善人形机器人与老年人之间的最佳沟通。在人形机器人Pepper中安装了对话程序,包括日本Xing公司的应用程序Pepper- Prevention Gymnastics Exercises (Pepper- cpge)。老年人和Pepper-CPGE之间的对话被摄像机记录下来。从视频和现场记录中捕获的对话转录数据进行了分析,重点是人机交互。从录制的场景和对话来看,Pepper-CPGE的语音语调与老年人期望的不一致,导致老年人的反应不恰当;2) Pepper的问题与老年人的回答时间不及时、不匹配(问答时间的差异),导致老年人的困惑;3)周围的其他老年人对与Pepper-CPGE的对话感兴趣。然而,Pepper-CPGE不能与多个老年人交流。提高Pepper-CPGE与多个老年人交流的能力,因为一个老年人与Pepper-CPGE的对话可以使其他老年人不仅与Pepper-CPGE互动的老年人互动,而且与Pepper-CPGE互动。这项研究表明,人形机器人和老年人之间的互动关系可以得到促进。需要通过优化结构化对话来改善人形机器人与老年人之间的沟通,以增强适当的参与和参与。有必要为hnr创建一个“关怀对话数据库”,以便了解患者/客户并分享人机交互的美学体验。此外,开发一种使人形机器人能够同情老年人的对话模式也很重要。
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引用次数: 14
Distributional Reinforcement Learning with Quantum Neural Networks 量子神经网络的分布式强化学习
Pub Date : 2019-04-10 DOI: 10.4236/ICA.2019.102004
Wei Hu, James Hu
Traditional reinforcement learning (RL) uses the return, also known as the expected value of cumulative random rewards, for training an agent to learn an optimal policy. However, recent research indicates that learning the distribution over returns has distinct advantages over learning their expected value as seen in different RL tasks. The shift from using the expectation of returns in traditional RL to the distribution over returns in distributional RL has provided new insights into the dynamics of RL. This paper builds on our recent work investigating the quantum approach towards RL. Our work implements the quantile regression (QR) distributional Q learning with a quantum neural network. This quantum network is evaluated in a grid world environment with a different number of quantiles, illustrating its detailed influence on the learning of the algorithm. It is also compared to the standard quantum Q learning in a Markov Decision Process (MDP) chain, which demonstrates that the quantum QR distributional Q learning can explore the environment more efficiently than the standard quantum Q learning. Efficient exploration and balancing of exploitation and exploration are major challenges in RL. Previous work has shown that more informative actions can be taken with a distributional perspective. Our findings suggest another cause for its success: the enhanced performance of distributional RL can be partially attributed to its superior ability to efficiently explore the environment.
传统的强化学习(RL)使用回报,也称为累积随机奖励的期望值,来训练代理学习最优策略。然而,最近的研究表明,在不同的RL任务中,学习回报的分布比学习期望值具有明显的优势。从传统RL中使用收益预期到分布RL中收益分配的转变为RL的动态提供了新的见解。本文建立在我们最近研究RL的量子方法的基础上。我们的工作利用量子神经网络实现了分位数回归(QR)分布Q学习。该量子网络在具有不同数量分位数的网格世界环境中进行了评估,说明了其对算法学习的详细影响。它还与马尔可夫决策过程(MDP)链中的标准量子Q学习进行了比较,表明量子QR分布式Q学习比标准量子Q学更有效地探索环境。有效的勘探以及开发与勘探的平衡是RL面临的主要挑战。先前的工作表明,可以从分布的角度采取更具信息性的行动。我们的研究结果表明了其成功的另一个原因:分布式RL性能的提高可以部分归因于其高效探索环境的卓越能力。
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引用次数: 2
Tensor-Centric Warfare V: Topology of Systems Confrontation 张量中心战V:系统对抗的拓扑结构
Pub Date : 2019-02-28 DOI: 10.4236/ICA.2019.101002
V. Ivancevic, P. Pourbeik, D. Reid
In this paper, as a new contribution to the tensor-centric warfare (TCW) series [1] [2] [3] [4], we extend the kinetic TCW-framework to include non-kinetic effects, by addressing a general systems confrontation [5], which is waged not only in the traditional physical Air-Land-Sea domains, but also simultaneously across multiple non-physical domains, including cyberspace and social networks. Upon this basis, this paper attempts to address a more general analytical scenario using rigorous topological methods to introduce a two-level topological representation of modern armed conflict; in doing so, it extends from the traditional red-blue model of conflict to a red-blue-green model, where green represents various neutral elements as active factions; indeed, green can effectively decide the outcomes from red-blue conflict. System confrontations at various stages of the scenario will be defined by the non-equilibrium phase transitions which are superficially characterized by sudden entropy growth. These will be shown to have the underlying topology changes of the systems-battlespace. The two-level topological analysis of the systems-battlespace is utilized to address the question of topology changes in the combined battlespace. Once an intuitive analysis of the combined battlespace topology is performed, a rigorous topological analysis follows using (co)homological invariants of the combined systems-battlespace manifold.
在本文中,作为对张量中心战(TCW)系列[1][2][3][4]的新贡献,我们通过解决一般系统对抗[5],将动力学TCW框架扩展到包括非动力学效应,这种对抗不仅在传统的物理空中-陆地-海洋领域进行,而且同时在多个非物理领域进行,包括网络空间和社交网络。在此基础上,本文试图使用严格的拓扑方法来解决一个更一般的分析场景,以引入现代武装冲突的两级拓扑表示;在这样做的过程中,它从传统的红蓝冲突模型扩展到红蓝绿冲突模型,其中绿色代表作为活跃派系的各种中立元素;事实上,绿色可以有效地决定红蓝冲突的结果。场景各个阶段的系统对抗将由非平衡相变来定义,非平衡相变表面上以突然的熵增长为特征。这些将显示出系统作战空间的底层拓扑结构变化。利用系统作战空间的两级拓扑分析来解决组合作战空间中的拓扑变化问题。一旦对组合作战空间拓扑进行了直观分析,就可以使用组合系统作战空间流形的(共)同调不变量进行严格的拓扑分析。
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引用次数: 1
Tensor-Centric Warfare VI: A Global Warfare Model 张量中心战争VI:一个全球战争模型
Pub Date : 2019-02-28 DOI: 10.4236/ICA.2019.101003
V. Ivancevic, D. Reid, P. Pourbeik, M. Pilling
We propose a global warfare model that integrates the models of the whole tensor-centric warfare series, represented as a high-dimensional entangled warfare category. Its underpinning metaphysics is “entangled fusion”: this is the macroscopic entanglement concept inspired by high-dimensional (HD) quantum computation (the “quantum brain”), in which any number of entangled wave-functions can be highly correlated, with neuron-like signaling among them. From this entangled perspective, war and battle is seen essentially as a holistic phenomenon: if any one of a set of mutually entangled warring parties is removed from the equation, then the war as it is instantly stops, possibly to be replaced by a new conflict between the remaining parties but distinct from that which it supplants. The formal global warfare framework developed in this paper expresses this fundamental idea of arbitrary many interrelated/entangled conflicts, each of them defined by its own battle-manifold (with warfighting tensor fields acting on it) and occurring (more-or-less) simultaneously on the planet; we call this entangled category
我们提出了一个全球战争模型,该模型集成了整个张量中心战系列的模型,表示为高维纠缠战类别。其基础形而上学是“纠缠融合”:这是受高维(HD)量子计算(“量子大脑”)启发的宏观纠缠概念,其中任何数量的纠缠波函数都可以高度相关,其中包括神经元样信号。从这种纠缠的角度来看,战争和战斗本质上被视为一种整体现象:如果一组相互纠缠的交战方中的任何一方被从等式中删除,那么战争就会立即停止,可能会被剩余各方之间的新冲突所取代,但与它所取代的冲突不同。本文中开发的正式全球战争框架表达了任意多个相互关联/纠缠冲突的基本思想,每一个冲突都由自己的战斗流形(作战张量场作用于其上)定义,并在地球上(或多或少)同时发生;我们称之为纠缠范畴
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引用次数: 1
Distributed Intelligent Lighting System by Performing New Model for Illuminance and Color Temperature in the Workplace 基于工作场所照度和色温新模型的分布式智能照明系统
Pub Date : 2019-01-15 DOI: 10.4236/ICA.2019.101001
Mohammed Hajjaj, M. Miki
A new approach has been proposed to improve the performance of the in-telligent lighting system by estimating personal illuminance and desired color temperature at the workplace. We are considering the problem of using the sensing devices manually for the intelligent lighting system. The lighting control system has not become useful without sensing devices to measure the provided illuminance and color temperature. In this paper, we have used the property of light for the color temperature to estimate the level of color temperature for each user at the workplace. The new method will give personal illuminance for each user at the workplace and decrease the power consumption of the environment as well. As a result, the proposed method of the intelligent lighting system has realized the target of illuminance and color temperature for each user at the workplace by adapting dimming levels using illuminance sensing information for each user. Thus, the energy of the workplace has reduced by using a distributed luminance to realize the target for each user.
提出了一种通过估计工作场所的个人照度和期望色温来提高智能照明系统性能的新方法。我们正在考虑将感应设备手动用于智能照明系统的问题。照明控制系统在没有感测装置来测量所提供的照度和色温的情况下变得不有用。在本文中,我们使用光的色温特性来估计工作场所中每个用户的色温水平。新方法将为工作场所的每个用户提供个人照明,并降低环境的功耗。因此,所提出的智能照明系统的方法通过使用每个用户的照度感测信息来调整调光水平,实现了工作场所每个用户的亮度和色温目标。因此,通过使用分布式亮度来实现每个用户的目标,减少了工作场所的能量。
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引用次数: 3
Optimal Path Planning for a Remote Sensing Unmanned Ground Vehicle in a Hazardous Indoor Environment 危险室内环境下遥感无人地面车辆最优路径规划
Pub Date : 2018-11-15 DOI: 10.4236/ICA.2018.94011
M. Alenezi, A. Almeshal
Urban search and rescue robots are playing an increasingly important role during disasters and with their ability to search within hazardous and dangerous environments to assist the first respond teams. Surveying and remote sensing the hazardous areas are two of the urgent needs of the rescue team to identify the risks before the intervention of the emergency teams. With such time-critical missions, the path planning and autonomous navigation of the robot is one of the primary concerns due to the need of fast and feasible path that is comprehensive enough to assess the associated risks. This paper presents a path planning method for navigating an unmanned ground vehicle within in an indoor hazardous area with minimum priori information. The algorithm can be generalized to any given map and is based on probabilistic roadmap path planning method with spiral dynamics optimization algorithm to obtain the optimal navigating path. Simulations of the algorithm are presented in this paper, and the results promising results are illustrated using Matlab and Simulink simulation environments.
城市搜救机器人在灾害期间发挥着越来越重要的作用,它们能够在危险和危险的环境中搜索,以协助第一反应小组。调查和遥感危险区域是救援队在介入前识别风险的两大迫切需要。对于这种时间关键的任务,机器人的路径规划和自主导航是主要关注的问题之一,因为需要快速可行的路径,该路径足够全面,可以评估相关风险。本文提出了一种在具有最小先验信息的室内危险区域内导航无人地面车辆的路径规划方法。该算法可以推广到任何给定的地图,并基于概率路线图路径规划方法和螺旋动力学优化算法来获得最优导航路径。本文对该算法进行了仿真,并利用Matlab和Simulink仿真环境对仿真结果进行了说明。
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引用次数: 3
Tensor-Centric Warfare IV: Kähler Dynamics of Battlefields 张量中心战争IV:Kähler战场动力学
Pub Date : 2018-11-15 DOI: 10.4236/ICA.2018.94010
V. Ivancevic, D. Reid, P. Pourbeik
This paper presents the complex dynamics synthesis of the combat dy-namics series called tensor-centric warfare (TCW; for the first three parts of the series, see [1] [2] [3]), which includes tensor generalization of classical Lanchester-type combat equations, entropic Lie-dragging and commutators for modeling warfare uncertainty and symmetry, and various delta-strikes and missiles (both deterministic and random). The present paper gives a unique synthesis of the Red vs. Blue vectorfields into a single complex battle-vectorfield, using dynamics on Kahler manifolds as a rigorous framework for extending the TCW concept. The global Kahler dynamics framework, with its rigorous underpinning called the Kahler-Ricci flow, provides not only a new insight into the “geometry of warfare”, but also into the “physics of warfare”, in terms of Lagrangian and Hamiltonian structures of the battlefields. It also provides a convenient and efficient computational framework for entropic wargaming.
本文提出了被称为张量中心战(TCW;该系列的前三部分,见[1][2][3])的作战动力学系列的复杂动力学综合,其中包括经典Lanchester型作战方程的张量推广、用于建模战争不确定性和对称性的熵李拖曳和交换子,以及各种三角洲打击和导弹(确定性和随机性)。本文使用Kahler流形上的动力学作为扩展TCW概念的严格框架,将红与蓝向量场独特地合成为单个复杂的战斗向量场。全球Kahler动力学框架及其被称为Kahler-Ricci流的严格基础,不仅提供了对“战争几何”的新见解,还提供了对战场拉格朗日和哈密顿结构的“战争物理学”的新认识。它还为熵战争博弈提供了一个方便高效的计算框架。
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引用次数: 2
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智能控制与自动化(英文)
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