Title
New Predictive Display Method Of Motion And Force Information For Network Teleoperation Without Using Virtual Environment Model
Abstract
This paper proposes an alternative predictive display method for a network teleoperation with the time delay. In general, the communication time delay in a teleoperation system disturbs not only the stability of the robotic system but also that of the human controlled loop and it leads to a decrease of the reality of the operation. To prevent this, several predictive display approaches based on the virtual environment models have been proposed recently. But, they cannot work well without the precise virtual environment model and, in addition, it is a complicated and time-consuming task to construct the precise kinematic and dynamic model of the general various working environment. In this paper, we'll design a new predictive display method of the motion and the force information for a general network teleoperation without using the virtual environment model. The proposed method is basically developed from the superimposed display of the predictive image and the real image of the slave site. The major contribution of this method is to provide the predictive motion and force information to the human operator without using any virtual model of the real environment even in the constrained space as well as in the free space. It enables to construct the environment-independent and easily applicable teleoperation system in the field of the network robotics such as the tele-manipulation, tele-communication, home/hobbyuse-network-teleoperation and so on. The proposed method is experimentally applied to a tele-manipulation system and the results illustrate the validity of the proposed approach.
Year
DOI
Venue
2003
10.1109/IROS.2003.1249297
IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4
Keywords
Field
DocType
robot kinematics,motion estimation,virtual environment,telerobotics
Teleoperation,Kinematics,Virtual machine,Simulation,Computer science,Robot kinematics,Control engineering,Artificial intelligence,Real image,Motion estimation,Telerobotics,Robotics
Conference
Citations 
PageRank 
References 
1
0.40
5
Authors
4
Name
Order
Citations
PageRank
Tomotaka Itoh1639.38
Koji Yudate210.40
Shinsuke Ito310.40
Takashi Matsui410.40