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In this paper, we developed an information giving system for supporting community society. The design concept of the system includes the concept of QOL (quality of life). The system includes a user model-based application, which is able to help group users depending on user models constructing by mining life logs, for providing appropriate service to user accordance with their needs. Moreover, the...
In this research, the authors aimed to mining Life logs for developing a user model-based service application. Life logs can be constructed by analyzing Motion logs, which are obtained from questionnaires, or motion data collected from sensors. And the user models, which help applications to provide appropriate service, can be constructed by mining these Life logs.
This research presents a system that provides useful information by data mining. The system collects human motions to process data mining, and uses the result to detect human intention, and then provide service. The system includes three parts: the input devices part that is to collect data, the server part that is to analyze and process the data mining, and the client part that is to provide service...
This paper proposes a novel algorithm for natural landmark extraction from 2D laser scan data. The algorithm permits to extract several types of landmarks such as dominant points, edges, center of curve segments and virtual corners. This is achieved by using a new geometrical feature identification approach based on a novel concept of local scale called local curvature scale. Intuitively, this approach...
Neural Engineering is a new discipline which unites engineering, computer science, physics, chemistry, and mathematics with cellular, molecular, cognitive and behavioral neurosciences, to understand the organizational principles and underlying mechanisms of the biology of neural systems, and to study the behavior dynamics and complexities of neural systems in nature. Therefore, it deals with many...
The following topics are dealt with: neural networks; fuzzy systems; evolutionary computation; adaptive dynamic programming and reinforcement learning; computational finance and economics; data mining; computer games; virtual reality; intelligent systems; robotics and cybernetics engineering; operations research; signal processing; human factors, and social issues; parallel and distributed architectures;...
The problem of planning for reachability goals in full observable nondeterministic domains has been addressed in the literature, where plans are often expressed as state-action tables under the hypothesis that, states of the world can be sensed directly by the robot or agent executing the plans. In most real world domains, however, a robot or agent distinguishes states of the world by acquiring some...
A neuro-controlled bionic arm will be able to allow an amputee to move his or her prosthetic arm as if it is a real limb simply by thinking. The arm also empowers patients with more natural movement, greater range of motion and restores lost function. To design a system which connects the brain to the arm through nerves is possible only when the system will have good control and accuracy. By proper...
This paper presents a method of topological modeling in home environments using only low-cost sonar sensors. The proposed method constructs a topological model using sonar gridmap by extracting subregions incrementally. A confidence for each occupied grid is evaluated to obtain reliable regions in a local gridmap, and a convexity measure is used to extract subregions automatically. Through these processes,...
Human-robot interaction using free hand gestures is gaining more importance as more untrained humans are operating robots in home and office environments. The robot needs to solve three problems to be operated by free hand gestures: gesture (command) detection, action generation (related to the domain of the task) and association between gestures and actions. In this paper we propose a novel technique...
In recent years there has been an ever increasing amount of research and development of technologies and methods to improve the quality and the performance of advanced surgery. In other fields several training methods and metrics have been proposed, both to improve the surgeon's abilities and also to assess her/his skills. For neurosurgery, however, the extremely small movements and sizes involved...
A large-scale navigation system for autonomous off-road robots is presented which uses a topological map to navigate to a previously unseen target location. During path traversal, the system relies on a local navigation layer to avoid obstacles not modeled in the map. Data from this local layer is abstracted to learn both realistic topological edge cost measures and local traversability maps which...
An alternative to the conventional quantization for occupied voxel lists in both 2D and 3D is presented. The performance metrics of the hexagonal lattice in 2D and the face centred and body centred cubic lattices in 3D are investigated and compared to their square and cubic counterparts. It is found that quantization to alternative lattices yields some improvements. Ultimately, the D3 or face centred...
In nature, many animals are able to jump, upright themselves after landing and jump again. This allows them to move in unstructured and rough terrain. As a further development of our previously presented 7 g jumping robot, we consider various mechanisms enabling it to recover and upright after landing and jump again. After a weighted evaluation of these different solutions, we present a spherical...
Autonomous underwater vehicle (AUV) has been widely used in marine exploration and military applications in the past decade. No matter which areas AUV applies in, its control system is the key of successfully completing the various tasks. In this paper a modular decision-making control system based on behaviors is proposed for AUV. The entire system is composed of two kinds of modules: Rational Behavior...
This paper describes the hardware and software systems that make up an experimental architecture developed to facilitate teleoperation research for miniature rotorcraft. One objective in developing this platform is to place the minimum required sensors and electronics onboard a miniature helicopter with limited payload. The onboard hardware resources must be sufficient to simplify the teleoperation...
This paper describes a cooperative testbed implementation of a new algorithm (Jin and Bertozzi, CDC 2007) for environmental boundary tracking and estimation using only localized noisy sensors. The tracking algorithm is based on Page's cumulative sum algorithm (CUSUM) a method for change-point detection. A geometric, biologically inspired, motion control algorithm allows individual vehicles to track...
This paper presents an observation system of human-object interaction in the intelligent space (iSpace). Object information is necessary to describe events and human activities which happen in environments. Especially, names, colors, size and shapes of objects can be described manually because we can consider that the information will not change. On the other hand, information such as locations of...
The use of unmanned vehicles in the field of underwater and marine applications is increasing significantly in recent years. Autonomous vehicles (like AUVs and gliders) or teleoperated ones (like ROVs) are currently employed for executing a number of different underwater tasks, like inspecting submerged pipes, executing maintenance interventions on underwater gas- or oil-platforms, collecting environmental...
It is generally challenging to design decentralized controllers for swarms of robots because there is often no obvious relation between the individual robot behaviors and the final behavior of the swarm. As a solution, we use artificial evolution to automatically discover neural controllers for swarming robots. Artificial evolution has the potential to find simple and efficient strategies which might...
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