Intelligent Space — concept and contents
TL;DR: It is believed that a robot, which will be used in the authors' general living environment, is related to the concept of Intelligent Space, which are rooms or areas that are equipped with sensors, which enable the spaces to perceive and understand what is happening in them.
Abstract: This paper describes our concept of Intelligent Space. Intelligent Spaces are rooms or areas that are equipped with sensors, which enable the spaces to perceive and understand what is happening in them. With such features, people or systems in the Intelligent Space can use additional functions that are afforded by the space. This research field itself is not particularly related to robotics, but we believe robots under Intelligent Spaces have many interesting features. Intelligent Spaces are expected to have a broad range of applications such as in homes, offices, factories, etc. Thus, we can consider that a robot, which will be used in our general living environment, is related to the concept of Intelligent Space. Several applications of Intelligent Space are shown in this paper with descriptions.
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TL;DR: The control law based on the virtual spring model is proposed to mitigate the difference of movement between the human and the mobile robot and it is verified by the computer simulation and the experiment.
Abstract: The robots that will be needed in the near future are human-friendly robots that are able to coexist with humans and support humans effectively. To realize this, humans and robots need to be in close proximity to each other as much as possible. Moreover, it is necessary for their interactions to occur naturally. It is desirable for a robot to carry out human following, as one of the human-affinitive movements. The human-following robot requires several techniques: the recognition of the target human, the recognition of the environment around the robot, and the control strategy for following a human stably. In this research, an intelligent environment is used in order to achieve these goals. An intelligent environment is a space in which many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents providing humans with services. A mobile robot is controlled to follow a walking human using distributed intelligent sensors as stably and precisely as possible. The control law based on the virtual spring model is proposed to mitigate the difference of movement between the human and the mobile robot. The proposed control law is applied to the intelligent environment and its performance is verified by the computer simulation and the experiment.
188 citations
Cites methods from "Intelligent Space — concept and con..."
...Not the intelligence of the robot itself but the intelligence of the ISpace is mainly used for the navigation of a mobile robot in ISpace [11]....
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14 Oct 2008
TL;DR: A robotic middleware able to cope with highly heterogeneous systems; a technique for autonomous self-configuration and reconfiguration; and a study of the problem of sharing information of both physical and digital nature are reported.
Abstract: The vision of an ecology of physically embedded intelligent systems, or PEIS-Ecology, combines insights from the fields of autonomous robotics and ambient intelligence to provide a new approach to building robotic systems in the service of people. In this paper, we present this vision, and we report the results of a four-year collaborative research project between Sweden and Korea aimed at the concrete realization of this vision.We focus in particular on three results: a robotic middleware able to cope with highly heterogeneous systems; a technique for autonomous self-configuration and reconfiguration; and a study of the problem of sharing information of both physical and digital nature.
152 citations
Cites background from "Intelligent Space — concept and con..."
...…belongs to a trend which is becoming rather popular in the area of home and service robotics: to abandon the idea of having one extremely competent isolated robot acting in a passive environment, in favor of a network of cooperating robotic devices embedded in the environment [1], [2], [3], [4]....
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...Descriptions and videos of some of the experiments can be found on the PEIS-Ecology home page [5]....
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TL;DR: This work provides an extensive overview of advanced sensor and actuator technologies and communications solutions and highlights that the design of future workplaces should be based on the concept of intelligent space.
Abstract: The fast development of smart sensors and wearable devices has provided the opportunity to develop intelligent operator workspaces The resultant Human-Cyber-Physical Systems (H-CPS) integrate the operators into flexible and multi-purpose manufacturing processes The primary enabling factor of the resultant Operator 40 paradigm is the integration of advanced sensor and actuator technologies and communications solutions This work provides an extensive overview of these technologies and highlights that the design of future workplaces should be based on the concept of intelligent space
146 citations
Cites background from "Intelligent Space — concept and con..."
...According to the concept of intelligent space the architecture must be modular, scalable and integrated, which results in low installation and maintenance costs and easy configuration [106]....
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TL;DR: This work presents and review robotic applications on plant pathology and management, and emerging agricultural technologies for intra-urban agriculture.
Abstract: The rapid development of new technologies and the changing landscape of the online world (e.g., Internet of Things (IoT), Internet of All, cloud-based solutions) provide a unique opportunity for developing automated and robotic systems for urban farming, agriculture, and forestry. Technological advances in machine vision, global positioning systems, laser technologies, actuators, and mechatronics have enabled the development and implementation of robotic systems and intelligent technologies for precision agriculture. Herein, we present and review robotic applications on plant pathology and management, and emerging agricultural technologies for intra-urban agriculture. Greenhouse advanced management systems and technologies have been greatly developed in the last years, integrating IoT and WSN (Wireless Sensor Network). Machine learning, machine vision, and AI (Artificial Intelligence) have been utilized and applied in agriculture for automated and robotic farming. Intelligence technologies, using machine vision/learning, have been developed not only for planting, irrigation, weeding (to some extent), pruning, and harvesting, but also for plant disease detection and identification. However, plant disease detection still represents an intriguing challenge, for both abiotic and biotic stress. Many recognition methods and technologies for identifying plant disease symptoms have been successfully developed; still, the majority of them require a controlled environment for data acquisition to avoid false positives. Machine learning methods (e.g., deep and transfer learning) present promising results for improving image processing and plant symptom identification. Nevertheless, diagnostic specificity is a challenge for microorganism control and should drive the development of mechatronics and robotic solutions for disease management.
103 citations
Cites background from "Intelligent Space — concept and con..."
...In this vision, a network of cooperating robot devices embedded in the environment is preferred over having an extremely competent robot in a passive environment [46]....
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01 Jan 2011
TL;DR: This pertinent publication targets researchers and practitioners in Ambient Intelligence, as well as those in ubiquitous and pervasive computing, artificial intelligence, sensor networks, knowledge representation, automated reasoning and learning, system and software engineering, and man-machine interfaces.
Abstract: Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives covers the cutting-edge aspects of AMI applications, specifically those involving the effective design, realization, and implementation of a comprehensive AmI application. This pertinent publication targets researchers and practitioners in Ambient Intelligence, as well as those in ubiquitous and pervasive computing, artificial intelligence, sensor networks, knowledge representation, automated reasoning and learning, system and software engineering, and man-machine interfaces.
79 citations
References
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TL;DR: Consider writing, perhaps the first information technology: The ability to capture a symbolic representation of spoken language for long-term storage freed information from the limits of individual memory.
Abstract: Specialized elements of hardware and software, connected by wires, radio waves and infrared, will soon be so ubiquitous that no-one will notice their presence.
9,073 citations
Journal Article•
TL;DR: In this article, the authors propose that specialized elements of hardware and software, connected by wires, radio waves and infrared, will soon be so ubiquitous that no-one will notice their presence.
Abstract: Specialized elements of hardware and software, connected by wires, radio waves and infrared, will soon be so ubiquitous that no-one will notice their presence
5,041 citations
TL;DR: Everyday computing is proposed, a new area of applications research, focussed on scaling interaction with respect to time, just as pushing the availiability of computing away from the traditional desktop fundamentally changes the relationship between humans and computers.
Abstract: The proliferation of computing into the physical world promises more than the ubiquitous availability of computing infrastructure; it suggest new paradigms of interaction inspired by constant access to information and computational capabilities. For the past decade, application-driven research on abiquitous computing (ubicomp) has pushed three interaction themes:natural interfaces, context-aware applications,andautomated capture and access. To chart a course for future research in ubiquitous computing, we review the accomplishments of these efforts and point to remaining research challenges. Research in ubiquitious computing implicitly requires addressing some notion of scale, whether in the number and type of devices, the physical space of distributed computing, or the number of people using a system. We posit a new area of applications research, everyday computing, focussed on scaling interaction with respect to time. Just as pushing the availiability of computing away from the traditional desktop fundamentally changes the relationship between humans and computers, providing continuous interaction moves computing from a localized tool to a constant companion. Designing for continous interaction requires addressing interruption and reumption of intreaction, representing passages of time and providing associative storage models. Inherent in all of these interaction themes are difficult issues in the social implications of ubiquitous computing and the challenges of evaluating> ubiquitious computing research. Although cumulative experience points to lessons in privacy, security, visibility, and control, there are no simple guidelines for steering research efforts. Akin to any efforts involving new technologies, evaluation strategies form a spectrum from technology feasibility efforts to long-term use studies—but a user-centric perspective is always possible and necessary
1,541 citations
"Intelligent Space — concept and con..." refers methods in this paper
...The trajectory of ubiquitous computing research since the work of Weiser is well summarized in [6]....
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25 Sep 2000
TL;DR: The current research in each of these areas of middleware, world modelling, perception, and service description is described, highlighting some common requirements for any intelligent environment.
Abstract: The EasyLiving project is concerned with development of an architecture and technologies for intelligent environments which allow the dynamic aggregation of diverse I/O devices into a single coherent user experience. Components of such a system include middleware (to facilitate distributed computing), world modelling (to provide location-based context), perception (to collect information about world state), and service description (to support decomposition of device control, internal logic, and user interface). This paper describes the current research in each of these areas, highlighting some common requirements for any intelligent environment.
959 citations
TL;DR: The Classroom 2000 project at the Georgia Institute of Technology as mentioned in this paper was the first large-scale experiment with a living, ubiquitous computing environment, and the results of extended evaluations of the effect of automated capture on the teaching and learning experience.
Abstract: One potentially useful feature of future computing environments will be the ability to capture the live experiences of the occupants and to provide that record to users for later access and review. Over the last three years, a group at the Georgia Institute of Technology has designed and extensively used a particular instrumented environment: a classroom that captures the traditional lecture experience. This paper describes the history of the Classroom 2000 project and provides results of extended evaluations of the effect of automated capture on the teaching and learning experience. There are many important lessons to take away from this long-term, large-scale experiment with a living, ubiquitous computing environment. The environment should address issues of scale and extensibility, it should continuously be evaluated for effectiveness, and the ways in which the environment both improves and hinders the activity that it aims to support—in our case, education—need to be understood and acted upon. In d escribing our experiences and lessons learned, we hope to motivate other researchers to take more seriously the challenge of ubiquitous computing—the creation and exploration of the everyday use of computationally rich environments.
598 citations