Closed Loop Dimensional Error Correction for 5 Axis Flexible Part Milling

Author(s):  
Allan D. Spence ◽  
Kevin P. Peffers
2015 ◽  
pp. 208-215
Author(s):  
Jürgen Sieck ◽  
Vasyl Yatskiv ◽  
Anatoly Sachenko ◽  
Taras Tsavolyk

The paper presents a method of detecting and correcting packet errors in the block of data based on the modular corrective codes. Check symbols are calculated separately in rows and columns of the data matrix. Herewith, the same data matrix coefficients are used for calculating the check symbols in rows and columns. This allows the detection and correction of errors packets that are in the same row or column. When two or more distorted information symbols are in the same row (assuming that there is only one error in the column) then errors can be corrected through the analysis of the column syndrome. The possible cases of the distorted symbols placement in a block of data and ways of their fixing are considered. The algorithm for detecting and correcting errors packets is elaborated. In the general case the offered method of error correction, based on modular correcting code, provides a correction of: n errors, which are in the same row or column of the data matrix of n size; 2*n-1 errors that are in the same row and column. The proposed method of encoding / decoding is designed in Verilog and implemented on FPGA in the Quartus II of Altera company.


2019 ◽  
Vol 34 ◽  
Author(s):  
Meng-Cheng Lau ◽  
John Anderson ◽  
Jacky Baltes

Abstract This paper presents our sketch drawing artist humanoid robot research. One of the limitations of the existing artist humanoid robot is the lack of feedback on the error that occurs during the drawing process. The contribution of this research is the development of a humanoid robot artist with drawing error correction capability. Based on our previous work with open-loop control pen-and-ink humanoid robot artist, we have implemented a closed-loop visual servoing approach to address this problem. Our experimental results show that this approach is sufficient to correct drawing errors that occur due to mechanical limitation of a robot.


2005 ◽  
Vol 44 (5B) ◽  
pp. 3529-3533 ◽  
Author(s):  
Euiseok Hwang ◽  
Pilsang Yoon ◽  
Jooyoun Park ◽  
Jongyong Park ◽  
Haeun Nam

1961 ◽  
Vol 41 (3) ◽  
pp. 245-250 ◽  
Author(s):  
George H. Bornside ◽  
Isidore Cohn
Keyword(s):  

2012 ◽  
Vol 220 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Sandra Sülzenbrück

For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.


2003 ◽  
Vol 14 (5) ◽  
pp. 471-477
Author(s):  
Dejan M. Novakovic ◽  
Markku J. Juntti ◽  
Miroslav L. Dukic

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