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Graphical User Interface for the Control of a Biped Robot 双足机器人控制的图形用户界面
Pub Date : 2019-01-01 DOI: 10.4018/978-1-5225-2973-6.CH008
C. Urrea, Carlos Cortés Mac-Evoy
The design and implementation of a graphical user interface (GUI) for the control and operation of a biped robot is presented. This GUI allows establishing communication between the user, the robot and a computer (controller) so that the robot can perform bipedal walking without the need to introduce commands that are not user-friendly. The developed graphic interface permits the user to carry out tasks operating on the robot without having to resort to commands that are not easy to use. This interface was created using the MATLAB-Simulink software and it presents important advantages compared to the manual operation of a robot.
介绍了一种用于双足机器人控制和操作的图形用户界面(GUI)的设计与实现。这个GUI允许在用户、机器人和计算机(控制器)之间建立通信,这样机器人就可以执行双足行走,而不需要引入对用户不友好的命令。开发的图形界面允许用户执行在机器人上操作的任务,而不必诉诸于不容易使用的命令。该界面是使用MATLAB-Simulink软件创建的,与机器人手动操作相比,它具有重要的优势。
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引用次数: 0
Learner-Centered Approach With Educational Robotics 以学习者为中心的教育机器人方法
Pub Date : 2019-01-01 DOI: 10.4018/978-1-5225-0892-2.CH019
Amy Eguchi
The chapter introduces educational robotics as a learning tool to foster learner-centered approach in classroom. It provides tips for successful implementation of learner-centered learning using educational robotics learning tool. The chapter explains how teachers can use educational technology with a learner-centered approach, using examples from 4th grade robotics unit as part of the science curriculum. Pre-school teachers commonly use learner-centered approach that build upon students' interests, curiosities and inquiries. Somehow, the practice shifts gradually into teacher-centered pedagogy once students start to transition into upper grades. Providing a learner-centered learning environment promotes students' ability to build independent, active learner skills throughout their school experience, benefiting and enhancing their educational experience in post-secondary education and beyond. Educational robotics is a powerful learning tool that enables teachers to create learner-centered learning environments for students and promote learner-centered pedagogy in schools.
本章介绍了教育机器人作为一种学习工具,在课堂上培养以学习者为中心的方法。它提供了使用教育机器人学习工具成功实现以学习者为中心的学习的技巧。本章解释了教师如何以学习者为中心的方法使用教育技术,使用四年级机器人单元作为科学课程的一部分的例子。学前教师通常采用以学习者为中心的方法,以学生的兴趣、好奇心和探究为基础。不知何故,一旦学生开始进入高年级,这种做法就逐渐转变为以教师为中心的教学法。提供一个以学习者为中心的学习环境,可以促进学生在整个学习过程中建立独立、主动的学习技能,从而使他们在专上教育和其他教育中受益并提高他们的教育经验。教育机器人是一种强大的学习工具,它使教师能够为学生创造以学习者为中心的学习环境,并在学校促进以学习者为中心的教学法。
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引用次数: 2
Mecha-Media Mecha-Media
Pub Date : 2019-01-01 DOI: 10.4018/978-1-5225-8060-7.ch002
R. Søraa
How are robots, androids and cyborgs presented and received in the media? This chapter applies a social media analysis to this question by using empirical research on news stories that feature robotic technologies to see how robots are presented, consider what reporters focus on when writing about robots, and review how the public discusses and receives robots. The theoretical framework utilised focuses on how robot narratives are framed, how robot controversies are presented in different media, and how robots are domesticated through the media. The two main cases are a “robot hotel” in Japan, and a “killer robot” at a Volkswagen factory in Germany. News coverage of both stories shows widely differing ways for how the robot-narrative is framed.
媒体是如何呈现和接受机器人、机器人和半机械人的?本章通过对以机器人技术为特色的新闻报道进行实证研究,对这个问题进行社交媒体分析,看看机器人是如何呈现的,考虑记者在撰写机器人时关注的是什么,并回顾公众是如何讨论和接受机器人的。所使用的理论框架侧重于如何构建机器人叙事,机器人争议如何在不同的媒体中呈现,以及机器人如何通过媒体被驯化。这两个主要案例分别是日本的“机器人酒店”和德国大众汽车工厂的“杀手机器人”。对这两个故事的新闻报道显示,机器人叙事的构建方式大相径庭。
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引用次数: 2
Novel Swimming Mechanism for a Robotic Fish 机器鱼的新型游泳机构
Pub Date : 2019-01-01 DOI: 10.4018/978-1-4666-4225-6.CH004
Sayyed Farideddin Masoomi, Xiaoqi Chen, S. Gutschmidt, M. Sellier
Efficient cruising, maneuverability, and noiseless performance are the key factors that differentiate fish robots from other types of underwater robots. Accordingly, various types of fish-like robots have been developed such as RoboTuna and Boxybot. However, the existing fish robots are only capable of a specific swimming mode like cruising inspired by tuna or maneuvering inspired by labriforms. However, for accomplishing marine tasks, an underwater robot needs to be able to have different swimming modes. To address this problem, the Mechatronics Group at University of Canterbury is developing a fish robot with novel mechanical design. The novelty of the robot roots in its actuation system, which causes its efficient cruising and its high capabilities for unsteady motion like fast start and fast turning. In this chapter, the existing fish robots are introduced with respect to their mechanical design. Then the proposed design of the fish robot at University of Canterbury is described and compared with the existing fish robots.
高效的巡航、机动性和无噪音性能是鱼类机器人区别于其他类型水下机器人的关键因素。因此,开发出了“RoboTuna”、“Boxybot”等各种鱼型机器人。然而,现有的鱼类机器人只能有一种特定的游泳模式,比如受金枪鱼启发的巡航或受唇形启发的机动。然而,为了完成海洋任务,水下机器人需要能够具有不同的游泳模式。为了解决这个问题,坎特伯雷大学的机电一体化小组正在开发一种具有新颖机械设计的鱼类机器人。该机器人的新颖之处在于其驱动系统,使其具有高效的巡航能力和快速启动、快速转弯等非定常运动能力。在本章中,介绍了现有的鱼类机器人的机械设计。然后对坎特伯雷大学提出的鱼类机器人设计进行了描述,并与现有的鱼类机器人进行了比较。
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引用次数: 4
Robot Double 机器人的两倍
Pub Date : 2019-01-01 DOI: 10.4018/978-1-5225-8060-7.ch020
Y. Sone
This chapter discusses Japanese roboticist Hiroshi Ishiguro's performance experiments with robotic machines (humanoid and android) as a case study for this book's theme, “the techno-self.” Ishiguro's robots are highly sophisticated pieces of engineering intended to replicate human physical movement and appearance. In addition to claims relevant to robot engineering, for Ishiguro, these machines are reflexive tools for investigations into questions of human identity. In Ishiguro's thinking I identify what I call a “reflexive anthropomorphism,” a notion of the self's relation to the other that is tied equally to Buddhism and Japanese mythology. Using concepts from Japanese studies and theatre and performance studies, this chapter examines one culturally specific way of thinking about concepts of the self and identity through Ishiguro's discussion of the human-robot relation.
本章讨论了日本机器人学家石黑浩(Hiroshi Ishiguro)对机器人机器(人形和机器人)的性能实验,作为本书主题“技术自我”的案例研究。石黑一雄的机器人是高度复杂的工程,旨在复制人类的身体运动和外表。除了与机器人工程相关的要求外,对于石黑浩来说,这些机器是调查人类身份问题的反射工具。在石黑一雄的思想中,我发现了我所谓的“反身拟人化”,这是一种关于自我与他人关系的概念,与佛教和日本神话同样相关。本章利用日本研究、戏剧和表演研究的概念,通过石黑一雄对人机关系的讨论,考察了一种文化上特定的思考自我和身份概念的方式。
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引用次数: 0
Design and Implementation for Controlling Multiple Robotic Systems by a Single Operator Under Random Communication Delays 随机通信延迟下单操作员控制多机器人系统的设计与实现
Pub Date : 2019-01-01 DOI: 10.4018/978-1-4666-9572-6.CH024
Yunyi Jia
Multiple robots can be tele-operated by a single operator to accomplish complicated tasks such as formation and co-transportation. Such systems are challenging because one operator needs to simultaneously tele-control multiple homogeneous and even heterogeneous robots. Besides, the communication between the operator and multi-robot system and the communication among the multiple robots are always subject to some communication constraints such as time delays. This chapter introduces a novel non-time based method to realize the single-operator-multi-robot (SOMR) teleoperation system with random communication delays. The problem is divided into a typical teleoperation problem and a multi-robot coordination problem. A non-time variable is taken as the system reference instead of the time to model and drive the system such that the random communication delays and some expected events could be automatically handled. Experiments implemented on a multi-robot system illustrate the effectiveness and advantages of the method.
多台机器人可以由一个操作者远程操作,完成编队、协同运输等复杂任务。这样的系统是具有挑战性的,因为一个操作员需要同时远程控制多个同质甚至异质机器人。此外,操作者与多机器人系统之间的通信以及多机器人之间的通信往往受到时延等通信约束。介绍了一种新的非基于时间的方法来实现具有随机通信延迟的单操作者-多机器人(SOMR)远程操作系统。该问题分为典型遥操作问题和多机器人协调问题。采用非时间变量代替时间变量作为系统参考,对系统进行建模和驱动,从而自动处理随机通信延迟和一些预期事件。在多机器人系统上的实验验证了该方法的有效性和优越性。
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引用次数: 3
An Autonomous Robot-to-Group Exercise Coach at a Senior Living Community 老年人生活社区的自主机器人团体运动教练
Pub Date : 2019-01-01 DOI: 10.4018/978-1-5225-8060-7.ch054
Lundy M. Lewis, Ted Metzler, Linda Cook
A NAO humanoid robot is programmed to act as an autonomous exercise instructor at a senior living community. In an on-site session, the robot does (i) a warm-up routine in which the robot directs participants to ask it to perform various tasks such as dancing and reciting poems and (ii) an exercise routine in which the robot guides participants through various physical exercises such as leg, hand, and neck exercises. The participants include six elderly residents, three nurses/caregivers, and two administrators. The elderly group is categorized with respect to cognitive awareness and physical capability. The session is videoed and then analyzed to measure several dimensions of human-robot interaction with these diverse participants, including affective reaction, effective reaction, and group responsiveness. Following the exercise session, a focus group session is conducted with the seniors and a separate focus group session conducted with the nurses and administrators to glean further data.
一个NAO人形机器人被编程为老年人生活社区的自主运动教练。在现场阶段,机器人会做(i)一个热身程序,在这个程序中,机器人会引导参与者要求它完成各种任务,比如跳舞和背诵诗歌;(ii)一个锻炼程序,在这个程序中,机器人会引导参与者进行各种身体锻炼,比如腿、手和脖子的锻炼。参与者包括六名老年居民,三名护士/护理人员和两名行政人员。老年人群体是根据认知意识和身体能力来分类的。该会议被录像,然后分析,以测量几个维度的人机互动与这些不同的参与者,包括情感反应,有效反应和群体反应。在练习会议之后,与老年人进行焦点小组会议,并与护士和管理人员进行单独的焦点小组会议,以收集进一步的数据。
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引用次数: 1
Control Architecture Model in Mobile Robots for the Development of Navigation Routes in Structured Environments 面向结构化环境下导航路径开发的移动机器人控制体系模型
Pub Date : 2019-01-01 DOI: 10.4018/978-1-4666-2658-4.CH005
Alejandro Hossian, G. Monte, V. Olivera
Robotic navigation applies to multiple disciplines and industrial environments. Coupled with the application of Artificial Intelligence (AI) with intelligent technologies, it has become significant in the field of cognitive robotics. The capacity of reaction of a robot in unexpected situations is one of the main qualities needed to function effectively in the environment where it should operate, indicating its degree of autonomy. This leads to improved performance in structured environments with obstacles identified by evaluating the performance of the reactive paradigm under the application of the technology of neural networks with supervised learning. The methodology implemented a simulation environment to train different robot trajectories and analyze its behavior in navigation and performance in the operation phase, highlighting the characteristics of the trajectories of training used and its operating environment, the scope and limitations of paradigm applied, and future research.
机器人导航适用于多学科和工业环境。再加上人工智能(AI)与智能技术的应用,在认知机器人领域具有重要意义。机器人在突发情况下的反应能力是机器人在其应操作的环境中有效运行所需的主要品质之一,表明其自主程度。这导致在结构化环境中的性能得到改善,这些环境中存在障碍,通过评估反应性范式在应用具有监督学习的神经网络技术下的性能来识别。该方法通过仿真环境来训练不同的机器人轨迹,并分析其导航行为和操作阶段的性能,突出了所使用的训练轨迹及其操作环境的特点,所应用范式的范围和局限性以及未来的研究方向。
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引用次数: 0
Hybrid Evolutionary Methods 混合进化方法
Pub Date : 2019-01-01 DOI: 10.4018/978-1-5225-8060-7.CH014
R. Tiwari, A. Shukla, R. Kala
The limitations of single algorithm approaches lead to an attempt to hybridize or fuse multiple algorithms in the hope of removing the underlying limitations. In this chapter, the authors study the evolutionary algorithms for problem solving and try to use them in a unique manner so as to get a better performance. In the first approach, they use an evolutionary algorithm for solving the problem of motion planning in a static environment. An additional factor called momentum is introduced that controls the granularity with which a robotic path is traversed to compute its fitness. By varying the momentum, the map may be treated finer or coarser. The path evolves along the generations, with each generation adding to the maximum possible complexity of the path. Along with complexity (number of turns), the authors optimize the total path length as well as the minimum distance from the obstacle in the robotic path. The requirement of evolutionary parameter individuals as well as the maximum complexity is less at the start and more at the later stages of the algorithm. Momentum is made to decrease as the algorithm proceeds. This makes the exploration vague at the start and detailed at the later stages. As an extension to the same work, in the second approach of the chapter, the authors show the manner in which a hybrid algorithm may be used in place of simple genetic algorithm for solving the problem with momentum. A Hybrid Genetic Algorithm Particle Swarm Optimization (HGAPSO) algorithm, which is a hybrid of a genetic algorithm and particle swarm optimization, is used in the same modeling scenario. In the third and last approach, the authors present a hierarchical evolutionary algorithm that operates in two hierarchies. The coarser hierarchy finds the path in a static environment consisting of the entire robotic map. The resolution of the map is reduced for computational speed. The finer hierarchy takes a section of the map and computes the path for both static and dynamic environments. Both these hierarchies carry optimization as the robot travels in the map. The static environment path gets more and more optimized along with generations. Hence, an extra setup cost is not required like other evolutionary approaches. The finer hierarchy makes the robot easily escape from the moving obstacle, almost following the path shown by the coarser hierarchy. This hierarchy extrapolates the movements of the various objects by assuming them to be moving with same speed and direction.
单一算法方法的局限性导致尝试混合或融合多种算法,希望消除潜在的局限性。在本章中,作者研究了用于问题求解的进化算法,并尝试以独特的方式使用它们,以获得更好的性能。在第一种方法中,他们使用进化算法来解决静态环境中的运动规划问题。引入了一个称为动量的附加因素,它控制机器人路径遍历的粒度,以计算其适应度。通过改变动量,可以对地图进行更精细或更粗糙的处理。这条路径沿着几代人进化,每一代都增加了路径的最大可能复杂性。除了复杂性(转弯数)外,作者还优化了机器人路径中的总路径长度以及与障碍物的最小距离。该算法对演化参数个体和最大复杂度的要求在初始阶段较低,在后期阶段较高。使动量随着算法的进行而减小。这使得探索在开始时是模糊的,在后期是详细的。作为对同一工作的扩展,在本章的第二种方法中,作者展示了一种混合算法可以用来代替简单的遗传算法来解决动量问题的方式。混合遗传算法粒子群优化(Hybrid Genetic Algorithm Particle Swarm Optimization, HGAPSO)算法是遗传算法和粒子群优化的混合,用于同一建模场景。在第三种也是最后一种方法中,作者提出了一种分层进化算法,该算法在两个层次中运行。粗层次结构在包含整个机器人地图的静态环境中找到路径。为了提高计算速度,地图的分辨率被降低了。更精细的层次结构获取地图的一部分,并计算静态和动态环境的路径。当机器人在地图上行进时,这两个层次结构都进行了优化。随着时代的发展,静态环境路径越来越优化。因此,不像其他进化方法那样需要额外的设置成本。更精细的层次结构使机器人更容易从移动的障碍物中逃脱,几乎遵循粗层次结构所示的路径。这个层次通过假设不同物体以相同的速度和方向移动来推断它们的运动。
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引用次数: 0
Object Recognition Pipeline 目标识别管道
Pub Date : 2019-01-01 DOI: 10.4018/978-1-5225-8060-7.ch021
John Alejandro Castro Vargas, Alberto García García, Sergiu Oprea, S. Escolano, J. G. Rodríguez
Object grasping in domestic environments using social robots has an enormous potential to help dependent people with a certain degree of disability. In this chapter, the authors make use of the well-known Pepper social robot to carry out such task. They provide an integrated solution using ROS to recognize and grasp simple objects. That system was deployed on an accelerator platform (Jetson TX1) to be able to perform object recognition in real time using RGB-D sensors attached to the robot. By using the system, the authors prove that the Pepper robot shows a great potential for such domestic assistance tasks.
使用社交机器人在家庭环境中抓取物体具有巨大的潜力,可以帮助有一定程度残疾的依赖者。在本章中,作者使用了知名的社交机器人Pepper来完成这样的任务。他们提供了一个使用ROS来识别和掌握简单物体的集成解决方案。该系统部署在加速器平台(Jetson TX1)上,能够使用附着在机器人上的RGB-D传感器实时执行物体识别。通过使用该系统,作者证明了Pepper机器人在此类家务辅助任务中显示出巨大的潜力。
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引用次数: 0
期刊
Journal of Rapid Methods and Automation in Microbiology
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