Research On The Key Technologies Of Teleoperation Robot

A wide range of robots is playing an increasingly important role in modern factories, mining, defense, marine development and exploration of outer space. Artificial Intelligence developed to today have made great progress in some areas. But away from the truly "human intelligence", there is still a long way to go. Teleoperation robot technology is a very important field of robot. In the reality of not highly intelligent robots, it is difficult to leave the robot's control, so teleoperation technology is now almost a must be with technical for a robot.Teleoperation technology in the present and future has important research value and broad application prospects.In this paper, in depth analysising and detailed studying, we have the following studies on teleoperation robot technology:First, we introduce the resulting control system instability - communication delays. In this paper, we make a detailed study of time-delay system, and analyzes the network's handling of time-delay mechanism. Finally, we design ways of simulated delay in a laboratory environment in order to facilitate for the robot teleoperation in time-delay problems providing a basis for simulation in a laboratory environment.Then,we introduce and summarize the development of artificial intelligence. In the environment of the robot developing toward automation and intelligent, this paper put forward the design of intelligent robot system.Finally, we made a detailed study of a key technology " Dead Reckoning " for the predictive control,and made a software simulation in a laboratory environment. The purpose of the use of Dead Reckoning is: on the one hand, under the premise of the simulation accuracy reducing the frequency of simulation entity sending status updating information and reducing network traffic; the other side to overcome the inherent network delay and to compensate network delay. In this paper, we made improvements on Dead Reckoning based on object behavior analysis. Experiment proved that the method has evident result in reducing the network traffic burden and improving control system's precision.