Báo điện tử IEEE

**john_den** · 01-10-2007, 11:03 AM

Bác lấy cho em mấy bài về mobile robot này nhé. Cảm ơn bác nhiều:

The mobile robot “staff”: mechanical analysis anddesign
Agullo, J. de Haro, S. Roure, F.
Dept. of Mech. Eng., Univ. Politecnica de Catalunya, Barcelona;

This paper appears in: Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on
Publication Date: 1999
Volume: 2, On page(s): 1477-1484 vol.2
Meeting Date: 10/18/1999 - 10/21/1999
Location: Barcelona, Spain
ISBN: 0-7803-5670-5
References Cited: 7
INSPEC Accession Number: 6530085
Digital Object Identifier: 10.1109/ETFA.1999.813163
Posted online: 2002-08-06 22:47:51.0
____________________________________

The structure design and dynamics analysis of an autonomous over-obstacle mobile robot
Wang Furui Wang Dexin Dong Erbao Chen Haoyao Du Huasheng Yang Jie
China Univ. of Sci. & Technol., Hefei, China;

This paper appears in: Industrial Technology, 2005. ICIT 2005. IEEE International Conference on
Publication Date: 14-17 Dec. 2005
On page(s): 248- 253
ISBN: 0-7803-9484-4
INSPEC Accession Number: 8956934
Digital Object Identifier: 10.1109/ICIT.2005.1600644
Posted online: 2006-03-06 09:14:02.0

______________________________________

A position control differential drive wheeled mobile robot
Yongoug Chung; Chongkug Park; Harashima, F.
Industrial Electronics, IEEE Transactions on
Volume 48, Issue 4, Aug 2001 Page(s):853 - 863
Digital Object Identifier 10.1109/41.937419
Summary:For more accurate path tracking of a four-wheeled two-degrees-of-freedom mobile robot (WMR), a position control algorithm is proposed with two separated feedback loops, a velocity feedback loop and a position feedback loop. In the most conventional position control system of a WMR, internal error is mainly considered, while external error has, as yet, hardly been treated, although it plays an important role in accurate position control. This external error is caused by unexpected environmental situations. The proposed control algorithm is designed to compensate for both internal error and external error. This algorithm makes it possible to accurately follow the designed trajectory
________________________________________

Sensor integration for mobile robot position determination
Azizi, F.; Houshangi, N.
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Volume 2, Issue , 5-8 Oct. 2003 Page(s): 1136 - 1140 vol.2
Digital Object Identifier
Summary: The objective of the work presented is to determine an accurate position and orientation for mobile robots based on information received from multiple sensors. The approach taken in this paper is to integrate the information from odometry with the inertial system using Unscented Kalman Filter (UKF). The UKF is the newest extension of widely used estimation method, Kalman Filter. The UKF is more accurate and simpler than the extended Kalman filter applied to nonlinear systems.

01-10-2007, 11:03 AM	#11
john_den Đệ tử 1 túi Tham gia ngày: Jul 2006 Bài gửi: 12 :	Bác down hộ em mấy bài báo này với Bác lấy cho em mấy bài về mobile robot này nhé. Cảm ơn bác nhiều: The mobile robot “staff”: mechanical analysis anddesign Agullo, J. de Haro, S. Roure, F. Dept. of Mech. Eng., Univ. Politecnica de Catalunya, Barcelona; This paper appears in: Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on Publication Date: 1999 Volume: 2, On page(s): 1477-1484 vol.2 Meeting Date: 10/18/1999 - 10/21/1999 Location: Barcelona, Spain ISBN: 0-7803-5670-5 References Cited: 7 INSPEC Accession Number: 6530085 Digital Object Identifier: 10.1109/ETFA.1999.813163 Posted online: 2002-08-06 22:47:51.0 ____________________________________ The structure design and dynamics analysis of an autonomous over-obstacle mobile robot Wang Furui Wang Dexin Dong Erbao Chen Haoyao Du Huasheng Yang Jie China Univ. of Sci. & Technol., Hefei, China; This paper appears in: Industrial Technology, 2005. ICIT 2005. IEEE International Conference on Publication Date: 14-17 Dec. 2005 On page(s): 248- 253 ISBN: 0-7803-9484-4 INSPEC Accession Number: 8956934 Digital Object Identifier: 10.1109/ICIT.2005.1600644 Posted online: 2006-03-06 09:14:02.0 ______________________________________ A position control differential drive wheeled mobile robot Yongoug Chung; Chongkug Park; Harashima, F. Industrial Electronics, IEEE Transactions on Volume 48, Issue 4, Aug 2001 Page(s):853 - 863 Digital Object Identifier 10.1109/41.937419 Summary:For more accurate path tracking of a four-wheeled two-degrees-of-freedom mobile robot (WMR), a position control algorithm is proposed with two separated feedback loops, a velocity feedback loop and a position feedback loop. In the most conventional position control system of a WMR, internal error is mainly considered, while external error has, as yet, hardly been treated, although it plays an important role in accurate position control. This external error is caused by unexpected environmental situations. The proposed control algorithm is designed to compensate for both internal error and external error. This algorithm makes it possible to accurately follow the designed trajectory ________________________________________ Sensor integration for mobile robot position determination Azizi, F.; Houshangi, N. Systems, Man and Cybernetics, 2003. IEEE International Conference on Volume 2, Issue , 5-8 Oct. 2003 Page(s): 1136 - 1140 vol.2 Digital Object Identifier Summary: The objective of the work presented is to determine an accurate position and orientation for mobile robots based on information received from multiple sensors. The approach taken in this paper is to integrate the information from odometry with the inertial system using Unscented Kalman Filter (UKF). The UKF is the newest extension of widely used estimation method, Kalman Filter. The UKF is more accurate and simpler than the extended Kalman filter applied to nonlinear systems.