Titlebook: Reasoning with Uncertainty in Robotics; International Worksh Leo Dorst,Michiel Lambalgen,Frans Voorbraak Conference proceedings 1996 Spring

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書目名稱Reasoning with Uncertainty in Robotics影響因子(影響力)




書目名稱Reasoning with Uncertainty in Robotics影響因子(影響力)學(xué)科排名




書目名稱Reasoning with Uncertainty in Robotics網(wǎng)絡(luò)公開度




書目名稱Reasoning with Uncertainty in Robotics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Reasoning with Uncertainty in Robotics被引頻次




書目名稱Reasoning with Uncertainty in Robotics被引頻次學(xué)科排名




書目名稱Reasoning with Uncertainty in Robotics年度引用




書目名稱Reasoning with Uncertainty in Robotics年度引用學(xué)科排名




書目名稱Reasoning with Uncertainty in Robotics讀者反饋




書目名稱Reasoning with Uncertainty in Robotics讀者反饋學(xué)科排名

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單片眼鏡

Reasoning with Uncertainty in Robotics978-3-540-68506-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Reasoning with uncertainty in AI,This paper provides an introduction to the field of reasoning with uncertainty in Artificial Intelligence (AI), with an emphasis on reasoning with numeric uncertainty. The considered formalisms are Probability Theory and some of its generalizations, the Certainty Factor Model, Dempster-Shafer Theory, and Probabilistic Networks.

極小

共和國(guó)

An evidential approach to probabilistic map-building,’ into the map using the Dempster-Shafer inference rule. This evidential approach with its multi-valued hypotheses allows quantitative analysis of the quality of the data. The map building system is experimentally evaluated using sonar data from real environments.

仲裁者

intoxicate

Neural network applications in sensor fusion for an autonomous mobile robot,d how to represent the sensor‘s error characteristics (the sensor model) in such a representation. For both these problems, solutions are suggested by the application of neural network theory, and it is argued that these neural networks are the best available alternatives.

不可知論

Uncertainty treatment in a surface filling mobile robot, the motion system. Robustness of the system is augmented both by considering uncertainty inside each module and by an intrinsic co-operation between modules. A high level of performance has been reached at low hardware requirements.