On-line parameter identification of a cart by mobile manipulation pushing

Abstract In this paper, a model identification method for unknown parameters of a non-holonomic cart has been developed. By interactions between a mobile manipulator and the cart, the sensory information is collected to estimate the model parameters of the cart. Since the raw data are contaminated by noise that cannot be modeled statistically, a wavelet based least square method (LSM) is proposed to estimate these parameters for the cart. The raw signal is decomposed into certain bandwidths to generate a series of new signals, which are used to estimate the parameters. The new signal, which has the minimal estimation residual in the least square sense, is adopted as the best estimation. The error convergence of the estimation approach is given. The experimental results indicate that the estimation accuracy can be significantly improved by the use of the proposed method.

[1]  Moshe Kam,et al.  Sensor Fusion for Mobile Robot Navigation , 1997, Proc. IEEE.

[2]  Xiaoping Yun,et al.  Control and coordination of locomotion and manipulation of a wheeled mobile manipulator , 1994 .

[3]  Jindong Tan,et al.  Unified model approach for planning and control of mobile manipulators , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[4]  R. Murray,et al.  Trajectory generation for the N-trailer problem using Goursat normal form , 1995 .

[5]  S. Shankar Sastry,et al.  Steering Three-Input Nonholonomic Systems: The Fire Truck Example , 1995, Int. J. Robotics Res..

[6]  Tzyh Jong Tarn,et al.  Intelligent planning and control for multirobot coordination: An event-based approach , 1996, IEEE Trans. Robotics Autom..

[7]  Hanqi Zhuang,et al.  A linear solution to the kinematic parameter identification of robot manipulators , 1993, IEEE Trans. Robotics Autom..

[8]  Rolf Isermann,et al.  Practical aspects of process identification , 1979, Autom..

[9]  Rolf Isermann,et al.  Two-Step Process Identification With Correlation Analysis and Least-Squares Parameter Estimation , 1974 .

[10]  Andrew Choi.  Real-time fundamental frequency estimation by least-square fitting , 1997, IEEE Trans. Speech Audio Process..

[11]  C. Samson.  Control of chained systems application to path following and time-varying point-stabilization of mobile robots , 1995, IEEE Trans. Autom. Control..

[12]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[13]  R. M. DeSantis,et al.  Path-tracking for a Tractor-Trailer-like Robot , 1994, Int. J. Robotics Res..