Robot and method of localizing the same

Details Robot and method of localizing the same Robot and method of localizing the same

2006-11-07

2010-11-02

Tran, Khoi (Department: 3664)

Data processing: generic control systems or specific application

Specific application, apparatus or process

Robot control

C318S568120

Reexamination Certificate

active

07826926

ABSTRACT:
A mobile robot and a method of localizing the robot are disclosed. The robot includes a gyroscope module providing information regarding a rotational angle of a gyroscope; an encoder module providing information regarding velocity and information regarding a rotational angle of a wheel of the robot by sensing motion of the wheel; and a control module estimating a current pose of the robot according to a method based on information provided by the encoder module and the gyroscope module, the control module incorporating information regarding rotational angle provided by the gyroscope module when estimating the current pose.

REFERENCES:
patent: 5684696 (1997-11-01), Rao et al.
patent: 6667592 (2003-12-01), Jacobs et al.
patent: 2003/0030399 (2003-02-01), Jacobs
patent: 2004/0158354 (2004-08-01), Lee et al.
patent: 2001-264106 (2001-09-01), None
patent: 10-2004-0040155 (2004-05-01), None
patent: 10-0564236 (2006-03-01), None
patent: 2004/008648 (2004-01-01), None
Chung et al., Sensor fusion for mobile robot dead-reckoning with precision-calibrated fiber optic gyroscope, May 2001, IEEE, pp. 3588-3593.
Lee et al., Localization of a mobile robot using the image of a moving object, Jun. 2003, IEEE, vol. 50, No. 3, pp. 612-619.
Kim et al., Evolutionary programming techniques for constrained optimization problems, Jul. 1997, IEEE, vol. 1, No. 2, pp. 129-140.
Welch et al., An introduction to the Kalman filter, 2001, University of North Carolina, Course 8, 81 pages.
Spletzer, The extended Kalman filter, Apr. 2005, CSE398/498, cse.lehigh.edu, 29 pages.
Rudolph Van Der Merwe, Sigma point Kalman filters for probabilistic inference in dynamic state-space models, Apr. 2004, OGI school of science & engineering at Oregon health & science university, pp. 1-397.
Youcef et al., Robust position estimation of an autonomous mobile robot, Oct. 2008,Frontiers in automation and control, 26 pages.
Korean Office Action issued on Sep. 25, 2006 with respect to Korean Application No. 10-2005-0106088, which corresponds to the above-referenced application.
Chung et al. “Accurate Mobile Robot Dead-Reckoning with a Precision-Calibrated Fiber-Optic Gyroscope” IEEE Transactions on Robotics and Automation, vol. 17, No. 1, Feb. 2001 pp. 80-84.
Myung et al. “Mobile Robot Localization with a Gyroscope and Constrained Kalman Filter” Samsung Tech. Conference; 12 pages.
Jin et al. “Position Estimation of Autonomous Mobile Robot Using Geometric Information of a Moving Object” Fuzzy Intelligent system symposium Papers 2004, vol. 14, No. 4, pp. 438-444.

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