Study Data from F. Janabisharifi et al Provide New Insights into Robotics.(Report)

"In this paper, Internet-based teleoperation of mobile robots for obstacle avoidance is analyzed. A shared impedance-control scheme is presented, and the results of an experimental study for the evaluation of the effects of different teleoperation parameters are reported," researchers in Toronto, Canada report.

"In the experimental study, the effects of time delay, operator training, image-display alternatives (virtual model versus real images), viewpoint, and force-reflection method were studied. For this purpose, several hypotheses were formulated and tested through the experiments using the introduced quantitative and qualitative measures. A fuzzy force-reflection controller is also proposed as an alternative force-reflection technique, and its performance is compared with a conventional proportional-derivative-type force-reflection method. The experimental scheme was implemented using MATLAB XPC Target and Simulink," wrote F. Janabisharifi and colleagues.

The researchers concluded: "The results could serve as guidelines in the design of teleoperation systems for obstacle avoidance and could also provide directions for further investigations."

Janabisharifi and colleagues published their study in IEEE Transactions on Systems Man and Cybernetics Part B - Cybernetics (Experimental Analysis of Mobile-Robot Teleoperation via Shared Impedance Control. IEEE Transactions on Systems Man and Cybernetics Part B - Cybernetics, 2011;41(2):591-606).

For additional information, contact F. Janabisharifi, Ryerson University, Dept. of Mech & Ind Engineering, Robot Mechatron & Mfg Automat Laboratory, Toronto, ON M5B 2K3, CANADA.

Publisher contact information for the journal IEEE Transactions on Systems Man and Cybernetics Part B - Cybernetics is: IEEE-Institute Electrical Electronics Engineers Inc., 445 Hoes Lane, Piscataway, NJ 08855-4141, USA.

Keywords: City:Toronto, State:Ontario, Country:Canada, Region:North and Central America, Emerging Technologies, Machine Learning, Robotics

This article was prepared by Robotics & Machine Learning editors from staff and other reports. Copyright 2011, Robotics & Machine Learning via VerticalNews.com.