Titlebook: Highly Redundant Sensing in Robotic Systems; Julius T. Tou,Jens G. Balchen Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1

有害处

Multi-Sensor Integration for Fine Manipulationrtip of the robotic finger..A few examples of integration of information obtained by the two types of sensors are discussed. Two simple experiments we have carried out illustrate classes of operations in which the sensor information could be either fused or considered as redundant.

stressors

Conference proceedings 1990stems for robotic control and manipulation. In an unstructural environment, robotic sensing translates measurements and characteristics of the environment and working objects into useful information. A robotic system is usually equipped with a variety of sensors to perform redundant sensing and achi

外观

A Knowledge-based System for Redundant and Multi Sensing in Intelligent Robots-base systems. This paper discusses various aspects of robotic sensing and the need for sensor science, and introduces the design of sensory knowledge base and the knowledge-based system approach to redundant and multi sensing. The top level of the knowledge base consists of sensors, algorithms, pro

注射器

亚当心理阴影

Highly Redundant Sensing in Robotics — Analogies From Biology: Distributed Sensing and Learning.g. seeing and touching the same object, and (3) distributed sensing, e.g. networks of sensors in the skin. In this paper we focus on distributed sensing and its connections to learning. The dominant feature of distributed sensor networks is lateral inhibition, where each sensor drives down each of

Angiogenesis

The multisensory system of the KAMRO robottrol Systems and Robotics, University of Karlsruhe. It explains the architecture of the supervision module for the interpretation of the multi sensor data with the help of a knowledge based system. The results of the interpretation of the sensor data are input into the planing process. Thereby, it i

miracle

misanthrope

Hierarchical Robot Multi-Sensor Data Fusion Systemn intelligent system..A mathematical model is developed to represent the level of confidence measures for determining the optimal fused sensor data. The proposed approach permits data to be merged in both a low-level way (to minimize the influence of noisy data) and a high level way (constraints are

坦白

A Phenomenological Approach to Thermal and Visual Sensor Fusionultisensory computer vision. This talk will describe a system which integrates information from thermal (infra-red) imagery and visual imagery to classify objects in outdoor scenes. Integration is synergistic in that it makes available new information, in this case — estimates of surface heat fluxes

纹章

Tools for Multisensor Data Fusion in Autonomous Robotstrol approach, an interface mechanism, system configuration, debugging and performance monitoring. The data representation is structured as a class tree and uses a blackboard paradigm for subsystem interaction. The properties of the objects in this class tree are represented by a value, a measure of