This paper presents a method for improving the performance of an inertial navigation airborne system utilizing information from an on-line mosaicking construction process. The system setup consists of an airborne plat...
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ISBN:
(纸本)9781605609836
This paper presents a method for improving the performance of an inertial navigation airborne system utilizing information from an on-line mosaicking construction process. The system setup consists of an airborne platform equipped with an inertial navigation system and a gimbaled camera, which scans the area in the flight vicinity. The images acquired by the camera are used to update the mosaic images and also to reduce the developing navigation errors. The main contribution of this paper is an updated measurements model and the performance evaluation of the proposed method based on an extensive simulation study and experiments conduction using real images acquired from Google Earth. Through these experiments we have shown that a significant improvement may be obtained in some of the navigation states under realistic scenarios. As the relative motion measurements, upon which the proposed method is constituted, are a by-product of the on-line mosaicking process, the navigation aiding is achieved without investing much additional effort.
An image related to three-dimensional movement is used for constructing a control system for a robotic forceps by voice instructions, together with use of auxiliary information such as, the information on the tip-posi...
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Human sleep stages during whole night are usually classified into six stages based on polysommnographic (PSG) record. Sleep state of human light sleep changes gradually and continuously. In this study, automatic judgm...
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This work presents a method for real-time mosaic-aided aircraft navigation. The method utilizes an on-line mosaic image construction process based on images acquired by a gim- balled camera attached to an airborne pla...
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Toward ubiquitous network society, there have been challenges to construct smart spaces in living space such as homes and offices by connecting embedded devices with each other;however, many existing smart spaces tend...
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Toward ubiquitous network society, there have been challenges to construct smart spaces in living space such as homes and offices by connecting embedded devices with each other;however, many existing smart spaces tend to depend on particular platform or be a self-contained environment. In this paper, we describe requirements on frameworks for smart spaces with embedded devices, and then propose a new framework based on the requirements. The proposed framework is designed to have high scalability and be suitable for cross-platform environments by employing RESTful web service for device interaction architecture. By encoding communication messages for requesting services in x-www-form-urlencoded scheme, the proposed framework can support many kinds of devices including resource-limited devices which can't afford an XML parser. Evaluation with existing frameworks shows the proposed framework is suitable as a framework for smart spaces because of its simple and lightweight architecture.
In this paper, an invariant manifold approach is applied for controlling chained form systems with four inputs and six states. This type of systems includes VTOL (vertical take off and landing) aerial robots such as X...
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In this paper, an invariant manifold approach is applied for controlling chained form systems with four inputs and six states. This type of systems includes VTOL (vertical take off and landing) aerial robots such as X4-flyer, AUVs (autonomous underwater vehicles) such as a longitudinal or lateral X4 -AUV, etc. The present underactuated control method is composed of a two step method: the first step is an attractive control to achieve an invariant manifold vector and the second step is a state feedback control to assure the asymptotic behavior of states constrained on each invariant manifold. Some simulations with changes in design parameters are given to demonstrate the effectiveness of the proposed method.
Emotions are necessary in robotic system to get some extra benefits especially in intelligence and autonomy with the motivational mechanism for behavior generation. A robot needs to be intelligent enough to adjust wit...
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Emotions are necessary in robotic system to get some extra benefits especially in intelligence and autonomy with the motivational mechanism for behavior generation. A robot needs to be intelligent enough to adjust with dynamic and flexible environment. Benefits can be amplified if emotional intelligence can be incorporated with the available control methods. We describe an emotion model to be used for a robotic system with an application in a simulated environment. The simulation shows satisfactory results in emotion generation and actions selection.
control of underactuated manipulators is an attractive research theme in robotics. One of the reasons is that they become a complex system, so that they cannot be controlled by normal any control methods. These system...
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control of underactuated manipulators is an attractive research theme in robotics. One of the reasons is that they become a complex system, so that they cannot be controlled by normal any control methods. These systems also include the properties of nonholonomic systems. One of control methods used for underactuated manipulators is known as a switching control, which selects a stable controller out of ones prepared in advance by using a switching rule. In this paper, we propose a switching control method for three-DOF underactuated manipulators. The dynamical model of an underactuated manipulator consisting of two prismatic joints and one revolute joint is first transformed into an extended nonholonomic double integrator form. Such a system can be controlled by applying the conventional logic-based control method developed in the case of velocity constraint, after slightly extending it to the present case. The effectiveness of the proposed method is illustrated through simulations with a three-DOF underactuated manipulator.
This paper proposes a method for evaluating fuzzy voice commands (FVCs) by user guided visual attention. FVCs inherit fuzzy linguistic information due to the inclusion of fuzzy linguistic terms such as “very little....
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This paper proposes a method for evaluating fuzzy voice commands (FVCs) by user guided visual attention. FVCs inherit fuzzy linguistic information due to the inclusion of fuzzy linguistic terms such as “very little.” The contextual meaning of such information depends on the environmental arrangement. Therefore, visual attention system (VAS) is utilized to evaluate the fuzzy linguistic information based on the environmental conditions. It is implemented by assuming that the corresponding distance value for a particular FVC depends on the spatial arrangement of the surrounding objects in the environment. A fuzzy logic based voice command evaluation system (VCES) is proposed to assess the fuzzy linguistic information in user commands. In addition, the user has been given the freedom to adjust command evaluation process by changing the attention level. It is achieved by using attentive voice commands such as “move carefully.” A situation of object manipulation by navigating the tip of a robot manipulator through the user's working space is demonstrated to illustrate the system where a PA-10 robot manipulator is used.
This paper describes a Takagi-Sugeno (T-S) fuzzy model adopted solution to the simultaneous localization and mapping (SLAM) problem with two-sensor data association (TSDA) method. Fuzzy Kalman filtering of the SLAM pr...
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This paper describes a Takagi-Sugeno (T-S) fuzzy model adopted solution to the simultaneous localization and mapping (SLAM) problem with two-sensor data association (TSDA) method. Fuzzy Kalman filtering of the SLAM problem (FKF-SLAM) is used in this paper together with newly proposed data association algorithm. An extended TSDA (ETSDA) method is introduced for the SLAM problem in mobile robot navigation based on an interior point linear programming (LP) approach. Simulation results are given to demonstrate that the ETSDA method has low computational complexity and it is more accurate than the existing single-scan joint probabilistic data association (JPDA) method.
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