Pushing Operation of Manipulator Based on Experience Learning: Position Prediction of An Object and Pushing Analysis

被引：0

作者：

Yang, Haolin ^{[1
]}

Sun, Fuchun ^{[1
]}

Guo, Di ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Comp Sci & Technol, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China

来源：

PROCESSING OF 2014 INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INFORMATION INTEGRATION FOR INTELLIGENT SYSTEMS (MFI) | 2014年

关键词：

CONTROLLABILITY; MECHANICS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the popularization and application of manipulator in the field of industrial production and scientific experiment, it is crucial to focus on the manipulator motion control. Pushing is the basis and assistance of complex operations of manipulator, and research goes on pushing operation has a very important and practical significance. Learning from experience has been recognized as an important cognitive ability in the cognitive architecture, and it makes the manipulator repeat the same or similar task in similar environments. The goal of this paper is to achieve the position prediction of a target object in pushing operation with experience learning and analyze the pushing operation.

引用

页数：6