Control method and control system for multiple robots

Abstract

The invention discloses a control method and control system for multiple robots. The control method comprises the steps that 1, a control command for the target multiple robots is received; 2, the control command is converted into standard format instructions including execution objects, execution actions and action purposes; and 3, the standard format instructions are decomposed by using a shareddatabase among the robots to obtain the execution objects, the execution actions and the action purposes of the instructions, the execution objects, the execution actions and the action purposes areconverted into instructions executable by the robots, the instructions are sent to the corresponding target robots, and the target robots execute the required tasks according to the converted instructions, wherein the robot information such as the control command of the robots and the sensing information of the robots are in data communication through the shared database, and the shared database is updated in real time. According to the control method and control system for the multiple robots, multi-robot control is achieved, and the control method and the control system have the advantages that control is simple, convenient, flexible, high in accuracy.

Description

technical field [0001] The invention relates to the technical field of multi-robot system control, in particular to a control method and control system for multi-robots. Background technique [0002] With the rapid development of robot technology, robots are used in various fields to replace human labor, and with the combination of artificial intelligence and pattern recognition and robot technology, the development trend of robot control has changed from human control to autonomous control. Human-machine hybrid control is between human control and autonomous control. For human-machine hybrid control, how to make human instructions convenient and unambiguously understood by robots is a difficult problem at present. [0003] Commanding and controlling a multi-robot system is a very challenging task. If the command command complexity is too low, the commander’s intention cannot be fully expressed. The simpler the command, the higher the requirement for the robot’s intelligence...

AI Technical Summary

Problems solved by technology

[0005] 1. With the increase of robots and the increase of heterogeneous complexity, the complexity of the system model will rise sharply

[0006] 2. The increase in the complexity of the system model will also increase the amount of calculation and the expansion of interactive information. Every time a robot is added, it is necessary to frequently modify the communication protocol and related decisions to ensure normal communication and cooperation between robots

[0007] 3. With the increase of robots, the control instructions for a single robot will bring a huge command burden to the commander;

[0008] 4. There is no unified standard for the control scheme, the software developed by different developers cannot be used universally, and the program needs to be rewritten according to the protocol on different robot platforms

[0009] In response to the above problems, some practitioners proposed to design distributed execution programs for multi-robot coordination based on the Scheme language. They focus on the supervisory control of multi-agent systems and adopt behavior-based control methods: a set of basic behaviors is predefined, and the commander Select one of the agents, but this type of method is still inapplicable when facing a larger group of agents, more complex or more behaviors, this type of method is not scalable, and the increase in behavior will increase the command It brings a great burden, that is, when the number of robots is large, it is still impossible to command and control a multi-robot system

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