메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject

3D Vision for Mobile robot Manipulator on Detecting and Tracking Target
Recommendations
Search
Questions

논문 기본 정보

Type
Proceeding
Author
Trong Hieu Luu (Can Tho University) Thanh Hung Tran (Can Tho University)
Journal
Institute of Control, Robotics and Systems 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2015
Published
2015.10
Pages
1,560 - 1,565 (6page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
3D Vision for Mobile robot Manipulator on Detecting and Tracking Target
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
In this study, an investigation of mobile robot manipulation applied stereo vision system, tracking and gripping the object with different disciplines to produce a robotics system with abilities to perform a complex real task is conducted. Stereo cameras for pose-based visual servoing and construction 3D map of the object to the manipulator is generated. Algorithms for mobile robot controlling, stereo visions, transformation functions and inverse kinematics are provided to make the study more comprehensive.
The study has successfully integrated computer vision technique to mobile robot manipulator, define the target base on two cameras and solving the inverse kinematic functions for 4 DOF elbow manipulator. Camera system has succeeded tracking measuring the distance; the object is inside the workspace of the manipulator, computer computes the inverse kinematic equations to find out the best angle for the arm reaching the target. Experiment results are presented to demonstrate the ability of the proposed control method.

Contents

Abstract
1. INTRODUCTION
2. METHODS
3. RESULTS
REFERENCES

References (0)

Add References

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

Recently viewed articles

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2016-569-001919503