CUBot: Computer Vision on the Eye–Hand Coordination with a Computer-Using Robot and its Implementation

Author:

Chen Yung-Sheng1,Lin Kun-Li2

Affiliation:

1. Department of Electrical Engineering, Yuan Ze University, Chung-Li 320, Taoyuan, Taiwan

2. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei 106, Taiwan

Abstract

Eye–hand coordination (EHC) is of great importance in the research areas of human visual perception, computer vision and robotic vision. A computer-using robot (CUBot) is designed for investigating the EHC mechanism and its implementation is presented in this paper. The CUBot possesses the ability of operating a computer with a mouse like a human being. Based on the three phases of people using computer with a mouse, i.e. watching the screen, recognizing the graphical objects on the screen as well as controlling the mouse to let the cursor approach to the target, our CUBot can also perceive information merely through its vision and control the mouse by its robotic hand without any physical data communication connected to the operated computer. The CUBot is mainly composed of “Mouse-Hand” for operating the mouse, “mind” for realizing the object perception, cursor tracking, and EHC. Two experiments used for testing the ability of our EHC algorithm and the perception of CUBot confirm the feasibility of the proposed approach.

Funder

National Science Council

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Application of Neural Network Algorithm in Robot Eye-Hand System;The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy;2021-10-28

2. Approach to the Segmentation of Buttons from an Elevator Inside Door Image;Transactions on Engineering Technologies;2019-10-11

3. A Text Classification Algorithm Based on Improved Multidimensional–Multiresolution Topological Pattern Recognition;International Journal of Pattern Recognition and Artificial Intelligence;2019-09

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