Shape Matching Based Real-Coded Genetic Algorithm for Grasping Construction

被引：0
|
作者：
Wang, Bin [1 ]
Dai, Shuling [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Virtual Real Technol & Syst, Beijing, Peoples R China
来源：
7TH INTERNATIONAL CONFERENCE ON SYSTEM SIMULATION AND SCIENTIFIC COMPUTING ASIA SIMULATION CONFERENCE 2008, VOLS 1-3 | 2008年
关键词：
D O I：
10.1109/ASC-ICSC.2008.4675402
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Data Clove is widely used in the area of Human Computer Interaction (HCI). Resulting from the complicated architecture of human hand and limited precision of peripheral equipment, the errors for sensor's output must be calibrated. A tempting solution to overcome this issue would be to use external sensors or construct manually to provide the ground-truth data to handle the calibration. The drawbacks of these approaches are tedious calibration procedures and lack or automation. The work described in this paper provides a method for grasping construction, which is based on Real-Coded Generic Algorithm and Shape Matching theory. This approach has the advantage that it does not require any special outer device and can be implemented automatically.
引用
收藏
页码：446 / 450
页数：5
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