Title of article :
Networked intelligent robots through the Internet: issues and opportunities
Author/Authors :
R.C.، Luo, نويسنده , , K.L، Su, نويسنده , , S.H، Shen, نويسنده , , K.H.، Tsai, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
-370
From page :
371
To page :
0
Abstract :
Intelligent robotic systems have been extensively applied in factory automation, space exploration, intelligent buildings, surgery, military service, and also in our daily life. Various remote control methods have been performed for intelligent robotic systems, such as radio, microwave, computer networks, etc. Nowadays, the computer network services have broadly used in our daily life, such as FTP, Telnet, the World Wide Web, e-mail, etc. Consequently, it is very convenient to use the Internet to control intelligent robot, and the users will increase in the future. In the past few years, many researchers have been using the Internet as a command transmission medium which can control the intelligent robot and obtain feedback signals. Although the Internet has many advantages in a variety of fields, using the Internet to control intelligent robots also has some limitations, such as the uncertain time-delay problem, the uncertain data-loss problem, and the data-transmission security problem. In the literature, many experts proposed various methods to solve these problems. This paper will discuss these methods and analyze the effects on the remote control systems caused by these problems. The intelligent robot can simultaneously present low-level navigational capabilities, medium-level self-positioning capabilities, high-level motion-planning capabilities, and the ability to be controlled through the Internet. The issues for controlling intelligent robots through the Internet will be discussed in terms of direct control, behavior programming control, supervisory control, and learning control. Finally, we enumerate some opportunities for the application of network-based intelligent robots, and present some successful examples of networked intelligent robots in our laboratory. Future trends and concluding remarks appear at the end of this paper.
Keywords :
Direct control , learning control , networked intelligent robots , Supervisory control
Journal title :
Proceedings of the IEEE
Serial Year :
2003
Journal title :
Proceedings of the IEEE
Record number :
99627
Link To Document :
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