The notion of anchoring has been introduced as a special form of symbol grounding which is needed in practical robotic systems that comprise a symbolic reasoning component. However, several concepts used in anchoring ...
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The paper discusses a relatively new human-computer interaction paradigm, where human operator actions are guided (controlled) by computer. The human operator's most essential contribution to this man-machine part...
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ISBN:
(纸本)0780365682
The paper discusses a relatively new human-computer interaction paradigm, where human operator actions are guided (controlled) by computer. The human operator's most essential contribution to this man-machine partnership is providing intelligent manipulation.
We demonstrate a time-optimal control algorithm based on the sliding mode control principle to control a robot manipulator. A designed time-optimal trajectory during the reaching phase is combined with fast sliding dy...
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We describe a new approach to virtual instrumentation, estimation and decision making of a dynamically changing quality assessment. We illustrate this approach in an electronic head concept, in which we combine the am...
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We describe a new technique for landmark-based self-localization which is suitable for robots with poor odometry. This technique uses fuzzy logic to account for errors and imprecision in visual recognition, and for ex...
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We describe a new technique for landmark-based self-localization which is suitable for robots with poor odometry. This technique uses fuzzy logic to account for errors and imprecision in visual recognition, and for extreme uncertainty in the estimate of the robot's motion. It only requires an approximate model of the sensor system and a qualitative estimate of the robot's displacement, and it has a moderate computational cost. We show examples of use of our technique on a Sony AIBO legged robot in the RoboCup domain.
Perceptual anchoring is the process of linking action to the appropriate objects in the environment via perception. The pivot of anchoring is the inclusion of micromodels of the world, or anchors, into a controller. I...
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Perceptual anchoring is the process of linking action to the appropriate objects in the environment via perception. The pivot of anchoring is the inclusion of micromodels of the world, or anchors, into a controller. In this paper, we propose to use anchors to focus the perceptual effort according to the current needs of the controller. We describe an active gaze control strategy able to maintain anchoring of several objects in a dynamic environment, and show how we have used it in a team of legged robots in the RoboCup'99 international robot soccer competition.
This paper addresses the problem of recovering metric consistency in a global gridmap for mobile robot navigation in large-scale environments. A hierarchy of robot maps is proposed which integrates topological and gri...
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This paper addresses the problem of recovering metric consistency in a global gridmap for mobile robot navigation in large-scale environments. A hierarchy of robot maps is proposed which integrates topological and grid-based representations at different levels of abstraction. The consistency problem is solved at the topological level, by applying a relaxation technique to generate coordinates for the places in the map. Consequently, the robot is able to recover a globally consistent gridmap without requiring accurate sensors or high computational costs. Experiments on a Nomad 200 robot in a large, real world environment demonstrate the effectiveness of the approach.
We describe a new approach to virtual instrumentation, estimation and decision making of a dynamically changing quality assessment. We illustrate this approach in an electronic head concept, in which we combine the am...
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We describe a new approach to virtual instrumentation, estimation and decision making of a dynamically changing quality assessment. We illustrate this approach in an electronic head concept, in which we combine the amount of information received, and apply feature extraction analysis and a fuzzy clustering technique to assess the quality as acquired from a human expert. By combining data from different artificial sensorsystems into a single set of meaningful features, we obtain information that is of greater human benefit than the aggregate of its contributing sensors. The combination of sensor data by fuzzy clusters has the aim of performing inference that may be impossible from the single artificial sensors. The entire sensor system acts as a virtual instrument for dynamic industrial process monitoring. This virtual instrument allows easy sensor observation and learning interaction with a human operator.
We propose topology-based maps as a new representation of the workspace of a mobile robot. These maps capture the structure of the free space in the environment in terms of the basic topological notions of connectivit...
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We propose topology-based maps as a new representation of the workspace of a mobile robot. These maps capture the structure of the free space in the environment in terms of the basic topological notions of connectivity and adjacency. Topology-based maps can be automatically extracted from an occupancy grid built from sensor data using techniques borrowed from the image processing field. Since these techniques can be soundly defined on fuzzy values, our approach is well suited to deal with the uncertainty inherent in the sensor data. Topology-based maps are fairly robust with respect to sensor noise and to small environmental changes, and have nice computational properties.
The complex permeability of commercially available ferrite LTCC (Low Temperature Cofired Ceramics) tapes in dependence of peak sintering temperature have been measured and calculated in the high-frequency range (300 k...
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