The first article reports on context-sensitive augmented-reality research presented at the 2007 International Symposium on Ubiquitous Virtual Reality. This student-organized event explored the use of contextual inform...
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The finite element method has been increasingly adopted to study the biomechanical behavior of biologic structures. Once the finite element mesh has been generated from CT data set, the assignment of bone tissuepsilas...
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The finite element method has been increasingly adopted to study the biomechanical behavior of biologic structures. Once the finite element mesh has been generated from CT data set, the assignment of bone tissuepsilas material properties to each element is a fundamental step in the generation of individualized or subject-specific finite element models. The aim of this work is to simulate the inhomogeneity and anisotropy of the femur using the finite element method. A program is developed to read a CT data set as well as the finite element mesh generated from it, and to assign to each element of the mesh the material properties derived from the bone tissue density at the element location. Moreover, the transversely isotropy of femur is simulated by taking into account the principal material orientation for each element.
Recent advanced interface technologies allow the user to interact with different spaces such as virtual reality (VR), augmented reality (AR) and ubiquitous computing (UC) spaces. Previously, humancomputerinteraction...
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Recent advanced interface technologies allow the user to interact with different spaces such as virtual reality (VR), augmented reality (AR) and ubiquitous computing (UC) spaces. Previously, humancomputerinteraction (HCI) issues in VR, AR and UC have been largely carried out in separate communities. Here, we combine these three interaction spaces into a single interaction space, called tangible space. We propose the VARU framework which is designed for rapid prototyping of a tangible space application. It is designed to provide extensibility, flexibility and scalability. Depending on the available resources, the user could interact with either the virtual, physical or mixed environment. By having the VR, AR and UC spaces in a single platform, it gives us the possibility to explore different types of collaboration across the different spaces. As a result, we present our prototype application which is built using the VARU framework.
This paper presents a vision-based approach for mobile robot localization. The environmental model is topological. The new approach uses a constellation of different types of affine covariant regions to characterize a...
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This paper presents a vision-based approach for mobile robot localization. The environmental model is topological. The new approach uses a constellation of different types of affine covariant regions to characterize a place. This type of representation permits a reliable and distinctive environment modeling. The performance of the proposed approach is evaluated using a database of panoramic images from different rooms. Additionally, we compare different combinations of complementary feature region detectors to find the one that achieves the best results. Our experimental results show promising results for this new localization method. Additionally, similarly to what happens with single detectors, different combinations exhibit different strengths and weaknesses depending on the situation, suggesting that a context-aware method to combine the different detectors would improve the localization results.
In this paper, we present a Sound Source Localization (SSL) with robot auditory system for a network-based intelligent service robots that give a service in variety places. The main goal of this paper is to analysis p...
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In this paper, we present a Sound Source Localization (SSL) with robot auditory system for a network-based intelligent service robots that give a service in variety places. The main goal of this paper is to analysis performance of SSL algorithm in real environment for robot. We gathered the sound databases in museum, conference hall and restaurant for SSL experiments. These places will be served by intelligent robot in actually. With using these databases, we compared some of SSL algorithms and searched that we can use the SLL for intelligent robot in real environment. Algorithms for calculating time delay are based on the advanced cross correlation and GCC (Generalized Cross-Correlation)-PHAT(Phase Transform) by frequency characteristics for calculating time delay estimation. The robot platform used in this work is wever-R2, which is a network-based intelligent service robot developed at Intelligent Robot Research Division in ETRI.
In the last decade, the technological changes in environmental data acquisition, management, analysis, and dissemination have been astounding. However, extracting patterns and knowledge for decision-making is still te...
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In the last decade, the technological changes in environmental data acquisition, management, analysis, and dissemination have been astounding. However, extracting patterns and knowledge for decision-making is still tedious essentially because the human capacity to comprehend such large amount of heterogenous data. Visualization tools are required to allow identifying relationships and patterns that are not evident from raw data. Several techniques have been proposed; most often they are borrowed from other fields such as humancomputerinteraction (HCI) and recently bio-informatics and software visualization. This paper discusses some of the limitations of the existing visualization techniques while introducing the concept of visual mining. An illustrative exemplar from immersive visualization is given.
This paper presents an experimental study of environment recognition and movement control of an autonomous two-wheeled mobile robot using infrared range finding sensors. PSD sensors are arranged to detect obstacles an...
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This paper presents an experimental study of environment recognition and movement control of an autonomous two-wheeled mobile robot using infrared range finding sensors. PSD sensors are arranged to detect obstacles and walls in the surroundings of the robot, and environment features are estimated using a set of range sensors data. The experimental mobile robot uses incremental encoders mounted on the wheels to locate itself in a small area. Using these sensors, some intelligent behaviors, such as wall following and obstacle rounding, have been implemented. Upon these behavior modules, the behavior control system is constructed for sensory navigation without any environment map and global selflocalization. The experimental results show that the mobile robot can carry out a navigation task, even when the robot knows little about the environment.
This paper presents an experimental study of distributed cooperative formation control of a team of autonomous mobile robots. Formation control demands that a team of robots keep a specified pattern while moving in a ...
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This paper presents an experimental study of distributed cooperative formation control of a team of autonomous mobile robots. Formation control demands that a team of robots keep a specified pattern while moving in a cluttered environment. So reactive control behaviors for keeping formation and obstacle avoidance are described. The behavioral decision to direct the movement of robot is made by the arbitration of primitive behaviors. For a team of two robots, control experiments were conducted using small mobile robots with infrared photo transistors and LEDs mounted on the front and back of the robot body, respectively. Simulations and real experiments using two mobile robots were successfully performed.
This paper presents a concept of a smart working environment designed to allow true joint-actions of humans and industrial robots. The proposed system perceives its environment with multiple sensor modalities and acts...
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