In the Titan project we applied a new approach to prototyping mobile robots by choosing tools which are commonly used by leading aerospace manufacturers and many other industries. We have gained substantial experience...
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In the Titan project we applied a new approach to prototyping mobile robots by choosing tools which are commonly used by leading aerospace manufacturers and many other industries. We have gained substantial experience when using the LabVIEW real-time programming environment coupled with the industrial quality data acquisition cards, both are made by National Instruments. The methodology of virtual instruments software tools combined with the graphical programming environment was found to be very efficient for interactive cycles of design and testing, which are at the core of robotics prototyping.
We seek to build CIS research systems within a flexible, open architecture. In this paper, we outline our solutions to the problems of system design, construction, and integration in this environment: building distrib...
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We present a sample implementation of a run time scheduler, split between hardware and software, controlling a real time robotics application. The hardware part of the run time scheduler, implemented as a finite state...
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Hybrid simulation includes both functional computer software models and actual hardware subsystems operating as an integrated whole. A ''hot test bed'' or a ''hybrid simulator-emulator''...
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Hybrid simulation includes both functional computer software models and actual hardware subsystems operating as an integrated whole. A ''hot test bed'' or a ''hybrid simulator-emulator'' enables design engineers to evaluate conceptual models in a more realistic real-lime context, but places increased cognitive demands on the designer. This paper describes an architecture, and results from a prototype implementation, for a design decision support system to allow a designer to make more productive and cost effective use of a test bed system.
Many robotics tasks require an ability to determine quickly the nature of the terrain surrounding the robot. While much attention has been given to the general problem of terrain typing, the problem of effective real-...
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Many robotics tasks require an ability to determine quickly the nature of the terrain surrounding the robot. While much attention has been given to the general problem of terrain typing, the problem of effective real-time terrain typing remains open. For robot missions such as construction site work, military reconnaissance, hazardous waste removal, and planetary exploration this problem must be addressed. In particular, for cross country navigation with a wheeled vehicle, the robot needs to know where the vegetation is and where the rigid obstacles are because frequently the optimal, if not the only, path will pass through vegetation. Our groups have independently researched the problem of finding vegetation in a scene, and have developed systems tuned to the specific demands of real-time terrain typing for robots. This paper looks at three classifiers of increasing dimensionality and describes their applicability to different aspects of the terrain typing problem.
Selecting a good model of a set of input points by cross validation is a computationally intensive process, especially if the number of possible models or the number of training points is high. Techniques such as grad...
Selecting a good model of a set of input points by cross validation is a computationally intensive process, especially if the number of possible models or the number of training points is high. Techniques such as gradient descent are helpful in searching through the space of models, but problems such as local minima, and more importantly, lack of a distance metric between various models reduce the applicability of these search methods. Hoeffding Races is a technique for finding a good model for the data by quickly discarding bad models, and concentrating the computational effort at differentiating between the better ones. This paper focuses on the special case of leave-one-out cross validation applied to memory-based learning algorithms, but we also argue that it is applicable to any class of model selection problems.
A finger-shaped tactile sensor consisting of a charge-coupled device (CCD) and a semispherical optical waveguide covered with an elastic sheet and connected to a light source is proposed. The principle of the sensor i...
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A finger-shaped tactile sensor consisting of a charge-coupled device (CCD) and a semispherical optical waveguide covered with an elastic sheet and connected to a light source is proposed. The principle of the sensor is based on producing the scattering light at the sensor-object contact. The contact location is recognized using a CCD to detect light. By a simple calculation of the equation derived from the sensor surface geometry, the sensor can also provide the surface normal of the touched object. Through experiments using a prototype sensor, the fundamental characteristics of the sensor are evaluated and the principle of the sensor is confirmed.< >
A characterization of the structure of uncertainty called the generalized matching condition is proposed. The uncertainty is further decomposed into two parts that are 'orthogonal' to each other. On the basis ...
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A characterization of the structure of uncertainty called the generalized matching condition is proposed. The uncertainty is further decomposed into two parts that are 'orthogonal' to each other. On the basis of this decomposition a linear feedback control design is proposed for linear uncertain systems. The control always exists if the generalized matching condition is met. The design is illustrated by a practical example.< >
The authors are exploring and developing techniques to enable mobile robots to work in a less constrained world than that of an AGV (autonomous guided vehicle). By having the robot maintain an a priori world-map, supp...
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The authors are exploring and developing techniques to enable mobile robots to work in a less constrained world than that of an AGV (autonomous guided vehicle). By having the robot maintain an a priori world-map, supplementing it as necessary, with sensor-based world perceptions (especially ultrasound and vision), its utility and mobility are enhanced. By maintaining an explicit representation of spatial uncertainty and revision positional estimates using incoming sensor data, the robot does not rely on wire or paint-stripe tethers to reality to navigate. Research is being performed using a Denning research vehicle in a flexible manufacturing system (FMS) environment. AI techniques in knowledge representation are used to embed the knowledge necessary for a robot's achievement of successful goal-oriented behaviors. Relevant behaviors for a mobile robot in an (FMS) environment are being defined.< >
This paper considers the problem of steering a redundant manipulator from an initial to a final position in the work space (Cartesian space). An optimal control approach is employed, to avoid obstacles in the work spa...
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This paper considers the problem of steering a redundant manipulator from an initial to a final position in the work space (Cartesian space). An optimal control approach is employed, to avoid obstacles in the work space and simultaneously avoid the kinematically singular configurations throughout the trajectory.
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