Simultaneous Learning of Motion and Sensor Model Parameters for Mobile Robots Teddy N. Yap, Jr. and Christian R. Shelton Department of Computer Science and Engineering University of California, Riverside, CA 92521, USA {

First Page		Document Content
Date: 2011-01-19 19:25:14 Robot control Statistics Robot navigation Estimation theory Engineering Artificial intelligence Linear filters Simultaneous localization and mapping Monte Carlo methods Kalman filter Robot calibration Sensor		Simultaneous Learning of Motion and Sensor Model Parameters for Mobile Robots Teddy N. Yap, Jr. and Christian R. Shelton Department of Computer Science and Engineering University of California, Riverside, CA 92521, USA { Add to Reading List Source URL: rlair.cs.ucr.edu Download Document from Source Website File Size: 1,32 MB Share Document on Facebook

	Linear Variable Filters and Xenon flash lamps The purpose of this document is to give recommendations on how to use DELTA’s linear variable filters in systems where the light is originating from a Xenon flash lamp. The DocID: 1vrHL - View Document
	Illumination of Linear Variable Filters with a laser beam The intensity distribution in the laser beam from a super continuum light-source is assumed to be purely Gaussian. The spot size on the linear variable filter is DocID: 1uUN8 - View Document
	Fusing Filters with Integer Linear Programming Amos Robinson† Ben Lippmeier† Gabriele Keller† DocID: 1tIrT - View Document
	Sound Synthesis with Periodic Linear Time-Varying Filters Antonio GOULART Marcelo QUEIROZ Computer Science Department Sonology Research Center University of S˜ao Paulo DocID: 1sd4P - View Document
	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Speed Sensorless State Estimation for Induction Motors: A Moving Horizon Approach Zhou, L.; Wang, Y. DocID: 1rtH7 - View Document