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

	Auton Robot:293–309 DOIs10514Vision-based maze navigation for humanoid robots Antonio Paolillo1 · Angela Faragasso2 · Giuseppe Oriolo1 · Marilena Vendittelli1 DocID: 1uZjR - View Document
	Robot navigation in multi-terrain outdoor environments using discrete representations and continuous vector fields Guilherme A. S. Pereira Luiz Chaimowicz Daniel S. C. de Almeida DocID: 1uURu - View Document
	1 Cooperative Navigation for Mixed Human-Robot Teams Using Haptic Feedback Stefano Scheggi, Member, IEEE, Marco Aggravi, Student Member, IEEE, and Domenico Prattichizzo, Fellow, IEEE DocID: 1uQu6 - View Document
	In Proc. of the German Conference on Robotics (ROBOTIK), Munich, Germany, MayEfficient Mobile Robot Navigation using 3D Surfel Grid Maps Jochen Kläß, Jörg Stückler, and Sven Behnke Autonomous Intelligent Syste DocID: 1triX - View Document
	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 { DocID: 1rgWF - View Document