An important issue in the field of motion control of wheeled mobile robots is that the design of most controllers is based only on the robot’s kinematics. However, when high-speed movements and/or heavy load transportation are required, it becomes essential to consider the robot dynamics as well. The control signals generated by most dynamic controllers reported in the literature are torques or voltages for the robot motors, while commercial robots usually accept velocity commands. In this context, we present a velocity-based dynamic model for differential drive mobile robots that also includes the dynamics of the robot actuators. Such model has linear and angular velocities as inputs and has been included in Peter Corke’s Robotics Toolbox for MATLAB, therefore it can be easily integrated into simulation systems that have been built for the unicycle kinematics. We demonstrate that the proposed dynamic model has useful mathematical properties. We also present an application of such model on the design of an adaptive dynamic controller and the stability analysis of the complete system, while applying the proposed model properties. Finally, we show some simulation and experimental results and discuss the advantages and limitations of the proposed model.
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To benefit from the social capabilities of a robot math tutor, instead of being distracted by them, a novel approach is needed where the math task and the robot's social behaviors are better intertwined. We present concrete design specifications of how children can practice math via a personal conversation with a social robot and how the robot can scaffold instructions. We evaluated the designs with a three-session experimental user study (n = 130, 8-11 y.o.). Participants got better at math over time when the robot scaffolded instructions. Furthermore, the robot felt more as a friend when it personalized the conversation.
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Hospitalisation is stressful for children. Play material is often offered for distraction and comfort. Weexplored how contact with social robot PLEO could positively affect a child’s well-being. To this end, we performed a multiple case study on the paediatric ward of two hospitals. Child life specialists offered PLEO as a therapeutic activity to children in a personalised way for a well-being related purpose in three to five play like activity sessions during hospital visits/stay. Robot–child interaction was observed; care professionals, children and parents were interviewed. Applying direct content analysis revealed six categories of interest: interaction with PLEO, role of the adults, preferences for PLEO, PLEO as buddy, attainment of predetermined goal(s) and deployment of PLEO. Four girls and five boys, aged 4–13, had PLEO offered as a relief from stress or boredom or for physical stimulation. All but one started interacting with PLEO and showed behaviours like hugging, caring or technical exploration, promoting relaxation, activation and/or making contact. Interaction with PLEO contributed to achieving the well-being related purpose for six of them. PLEO was perceived as attractive to elicit play. Although data are limited, promising results emerge that the well-being of hospitalised children might be fostered by a personalised PLEO offer.
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This paper presents a multi-layer scheme to control a formation of three mobile robots. Each layer works as an independent module, dealing with a specific part of the problem of formation control, thus giving to the system more flexibility. In order to reduce formation errors, the proposed architecture includes a layer which performs an adaptive dynamic compensation, using a robust updating law, which compensates for each robot dynamics. The controller is able to guide the robots to the desired formation, including the possibility of time-varying position and/or shape. Stability analysis is performed for the closed-loop system, and the result is that the formation errors are ultimately bounded. Finally, simulation results for a group of three unicycle-like mobile robots are presented, which show that system performance is improved when the adaptive dynamic compensation layer is included in the formation control scheme. © 2009 IEEE.
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This report is the final report for the FPGA accelerated PID controller, part of the Distributed Control Systems project. This project runs within the Lectoraat Robotics and High Tech Mechatronics of Fontys Hogeschool Engineering Eindhoven. The Lectoraat has the goal to develop applicable knowledge to support education and industry. This knowledge is acquired with projects run in conjunction with the industry. The report will go into detail for the software designed for this project, not the hardware design. This report is intended for follow up students working on the Distributed Control Systems project. Within this report the assumption is made that the reader is at least familiar with the terms EtherCAT, FPGA, Linux and PID controllers. However for each part a small basic introduction is included. For readers looking for the accomplishments in this project, the results are in chapter six. Following are short descriptions of the chapters in this report. The first chapter will give a short introduction to the project. It talks about why the project was conceived, where the project was done and what the expected end result is. The second chapter, the problem definition, talks about how the project has been defined, what is included and what is not and how the customer expects the final product to function and look like. The third chapter details the methodology used during this project. All the research preformed for this project will be described in the forth chapter. This chapter goes into the research into the Xilinx Zynq 7000 chip, Beckhoff's EtherCAT system, how the Serial Peripheral Interface works and how a PID controller functions. Following in chapter five the design is expanded upon. First the toolchain for building for the Zynq chip is explained. This is followed by and explanation of the different software parts that have been designed. Finally chapters six and seven provide the results and the conclusions and recommendations for this project.
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Abstract Long-haul travel does not constitute an obstacle for tourists to travel and is fast gaining the attention of tourists in new and unique experiences. This study was conducted to identify the long-haul travel motivation by international tourists to Penang. A total of 400 respondents participated in this survey, conducted around the tourist attractions in Penang, using cluster random sampling. However, only 370 questionnaires were only used for this research. Data were analysed using SPSS software 22 version. The findings, ‘knowledge and novelty seeking’ were the main push factors that drove long-haul travel by international tourists to Penang. Meanwhile, the main pull factor that attracts long- haul travel by international tourists to Penang was its ‘culture and history’. Additionally, there were partly direct and significant relationships between socio-demographic, trip characteristics and travel motivation (push factors and pull factors). Overall, this study identified the long-haul travel motivations by international tourists to Penang based on socio-demographic, trip characteristics and travel motivation and has indirectly helped in understanding the long-haul travel market particularly for Penang and Southeast Asia. This research also suggested for an effective marketing and promotion strategy in pro- viding useful information that is the key to attract international tourists to travel long distances. Keywords:
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Sustainable and Agile manufacturing is expected of future generation manufacturing systems. The goal is to create scalable, reconfigurable and adaptable manufacturing systems which are able to produce a range of products without new investments into new manufacturing equipment. This requires a new approach with a combination of high performance software and intelligent systems. Other case studies have used hybrid and intelligent systems in software before. However, they were mainly used to improve the logistic processes and are not commonly used within the hardware control loop. This paper introduces a case study on flexible and hybrid software architecture, which uses prototype manufacturing machines called equiplets. These systems should be applicable for the industry and are able to dynamically adapt to changes in the product as well as changes in the manufacturing systems. This is done by creating self-configurable machines which use intelligent control software, based on agent technology and computer vision. The requirements and resulting technologies are discussed using simple reasoning and analysis, leading to a basic design of a software control system, which is based on a hybrid distributed control system
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Author supplied: Abstract—The growing importance and impact of new technologies are changing many industries. This effect is especially noticeable in the manufacturing industry. This paper explores a practical implementation of a hybrid architecture for the newest generation of manufacturing systems. The papers starts with a proposition that envisions reconfigurable systems that work together autonomously to create Manufacturing as a Service (MaaS). It introduces a number of problems in this area and shows the requirements for an architecture that can be the main research platform to solve a number of these problems, including the need for safe and flexible system behaviour and the ability to reconfigure with limited interference to other systems within the manufacturing environment. The paper highlights the infrastructure and architecture itself that can support the requirements to solve the mentioned problems in the future. A concept system named Grid Manufacturing is then introduced that shows both the hardware and software systems to handle the challenges. The paper then moves towards the design of the architecture and introduces all systems involved, including the specific hardware platforms that will be controlled by the software platform called REXOS (Reconfigurable EQuipletS Operating System). The design choices are provided that show why it has become a hybrid platform that uses Java Agent Development Framework (JADE) and Robot Operating System (ROS). Finally, to validate REXOS, the performance is measured and discussed, which shows that REXOS can be used as a practical basis for more specific research for robust autonomous reconfigurable systems and application in industry 4.0. This paper shows practical examples of how to successfully combine several technologies that are meant to lead to a faster adoption and a better business case for autonomous and reconfigurable systems in industry.
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From the article: Abstract Over the last decades, philosophers and cognitive scientists have argued that the brain constitutes only one of several contributing factors to cognition, the other factors being the body and the world. This position we refer to as Embodied Embedded Cognition (EEC). The main purpose of this paper is to consider what EEC implies for the task interpretation of the control system. We argue that the traditional view of the control system as involved in planning and decision making based on beliefs about the world runs into the problem of computational intractability. EEC views the control system as relying heavily on the naturally evolved fit between organism and environment. A ‘lazy’ control structure could be ‘ignorantly successful’ in a ‘user friendly’ world, by facilitating the transitory creation of a flexible and integrated set of behavioral layers that are constitutive of ongoing behavior. We close by discussing the types of questions this could imply for empirical research in cognitive neuroscience and robotics.
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Walking meetings are a promising way to reduce unhealthy sedentary behavior at the office. Some aspects of walking meetings are however hard to assess using traditional research approaches that do not account well for the embodied experience of walking meetings. We conducted a series of 16 bodystorming sessions, featuring unusual walking meeting situations to engage participants (N=45) in a reflective experience. After each bodystorming, participants completed three tasks: a body map, an empathy map, and a rating of workload using the NASA-TLX scale. These embodied explorations provide insights on key themes related to walking meetings: material and tools, physical and mental demand, connection with the environment, social dynamics, and privacy. We discuss the role of technology and opportunities for technology-mediated walking meetings. We draw implications for the design of walking meeting technologies or services to account for embodied experiences, and the individual, social, and environmental factors at play.
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