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Improving sensory perception through predictive correction of monitoring errors

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2 Author(s)
Celinski, T. ; Dept. of Eng., Australian Nat. Univ., Canberra, ACT, Australia ; McCarragher, B.

We present an approach to managing the quality and cost of perception in a multi-sensor robotic system. The approach involves prediction of monitoring errors of low-performance process monitors using a weighted least squares algorithm, and detection of instances when high-performance process monitoring is necessary. Two significant characteristics of the approach are (1) dynamic, real-time management of process monitors, and (2) the ability to deliver high quality information while keeping the cost of perception low

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Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on  (Volume:4 )

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