We describe laboratory experiments, in which tactile data obtained from the finger-tips of a robot hand, while it is holding an object in front of a calibrated camera, is fused with the vision data from the camera, to...
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We describe laboratory experiments, in which tactile data obtained from the finger-tips of a robot hand, while it is holding an object in front of a calibrated camera, is fused with the vision data from the camera, to determine the object identity, pose, and the touch and vision data correspondences. The touch data is incomplete due to required hand configurations, while nearly half of the vision data are spurious due to the presence of the hand in the image. Using either sensor alone results in ambiguous or incorrect interpretations. A minimal representation size framework is used to formulate the multisensor fusion problem, and can automatically select the object class, correspondence (data subsamples), and pose parameters. The experiments demonstrate that it consistently finds the correct interpretation, and is a practical method for multisensor fusion and model selection.
Nodule identification is a major issue in chest radiography and cancer prevention and detection. The recognition of cancer nodule characteristics in chest radiographs is a key point to the detection procedure. The met...
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Nodule identification is a major issue in chest radiography and cancer prevention and detection. The recognition of cancer nodule characteristics in chest radiographs is a key point to the detection procedure. The method described here is based on the extraction of the major geometrical as well as luminance characteristics that make nodule recognizable and easy to detect. The purpose of the proposed method is to detect within a given block of chest X-ray image any homogeneous and autonomous mass that might means the existence of a nodule or some structure within it. The idea of pixels of interest is introduced which makes the growing a finite steps procedure. The growing of the region around a given point is realized gradually in a finite number of iterations at each one of which a set of criteria is evaluated. These criteria are established in a prior training procedure.
For pt.I see ibid., p.3726-30. Our work has been focused on developing a methodology for process control of bulk deformation-specifically, extrusion. In Part I, we developed a dynamical system model which could be use...
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For pt.I see ibid., p.3726-30. Our work has been focused on developing a methodology for process control of bulk deformation-specifically, extrusion. In Part I, we developed a dynamical system model which could be used for real-time applications. In this paper, we use this model development plus output relationships from our previous model development work (1995, 1996) to develop parameter identification and open-loop control methodologies. An example with plant trial data is provided.
Our work has been focused on developing a methodology for process control of bulk deformation-specifically, extrusion. A process model is required for control. The difficulties with currently available models are stat...
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Our work has been focused on developing a methodology for process control of bulk deformation-specifically, extrusion. A process model is required for control. The difficulties with currently available models are stated. An appropriate decomposition and associated assumptions are introduced, permitting construction a real-time process model via spectral approximation to solve the axi-symmetric, 2D transient heat conduction equation with heat generation and loss. This solution, simulation results, and model execution times are provided.
Although significant progress has been made in the area of robot motion planning, many issues still need to be addressed. These include the computational complexity of navigation algorithms, their adaptability to diff...
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Although significant progress has been made in the area of robot motion planning, many issues still need to be addressed. These include the computational complexity of navigation algorithms, their adaptability to different environments, and their sensitivity to changes in the environment. By capitalizing on the known properties of harmonic potential functions, this work develops a new approach towards model-based path planning which is intuitive, complete (goal attainability is guaranteed), free from local traps (local minima) and computationally less complex than many existing methods. Extending the advantages of hill-climbing method, which have low space and time complexity, to a global (model-based) path planning algorithm marks one of the major contributions of this work. Furthermore, the algorithm presented here is able to handle arbitrary geometries and does not require a geometrical or topological approximation at the environment representation level.
We have developed a Web based application to accelerate the visualization of VRML scenes located in a remote server. This application enables the user to extract only the parts of a scene that are of actual interest. ...
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We have developed a Web based application to accelerate the visualization of VRML scenes located in a remote server. This application enables the user to extract only the parts of a scene that are of actual interest. The extracted parts represent one or more sub trees of the hierarchical structure of the VRML scene, and only these parts will be rendered and visualized in the local computer. By reducing the complexity (size) of the remote scene, less data are transmitted from the remote server and the rendering process becomes faster in the local computer. The application is written in Java and is executed as an applet embedded in an HTML page.
The paper presents a novel path planning method for non-point, non-holonomically constrainted mobile robots. The proposed method, named the Active Kinematic Histogram (AKH) method, is a potential field path-planning m...
The study is based on two assumptions: 1) the child is an active, goal-oriented participant in his or her own development; and 2) physical manipulation of objects is a major contributing factor in the development of c...
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The study is based on two assumptions: 1) the child is an active, goal-oriented participant in his or her own development; and 2) physical manipulation of objects is a major contributing factor in the development of cognitive and language skills in a very young child. The CRS robot arm system is used in our study. All the functions are under the control of a computer based software control algorithm. The training program uses either the teach pedant or a series of text commands to train the arm. With the teach pedant, the operator can move the arm in desired directions by pressing the button on the teach pedant. In the text training mode, the arm moves according to the command set predefined. Another important aspect of the project is how to set up the interface and communication environment between the young children and the robot arm. The final program lets the child to accomplish a series of processing complex tasks through simple operation of certain buttons. The programmed activities have a development sequence, which eventually brings the robot arm under the control of the child; at the same time it facilitates the learning process of the child.
Due to increasing safety and reliability demands fault detection and accommodation is a key issue in the design of industrial control systems. This paper presents a neural network based method for fault detection and ...
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Due to increasing safety and reliability demands fault detection and accommodation is a key issue in the design of industrial control systems. This paper presents a neural network based method for fault detection and accommodation, appropriate for interconnected power systems. The simulation results show that the method is very promising.
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