Action planning system and method of high-intelligence robot

Abstract

The invention discloses an action planning system and method of a high-intelligence robot. The action planning system at least comprises the high-intelligence robot and an operation end remotely connected with the high-intelligence robot. The high-intelligence robot and the operation end are used for executing environment interference actions causing external world environment changes. The high-intelligence robot specifically comprises an environmental perception module, a first recognition module, a route planning module, a drive module, a second recognition module, an action planning moduleand an execution module. By means of the technical scheme, autonomous planning of the robot capable of achieving the environment interference actions causing the external world environment changes canbe achieved; particularly for door opening and door closing action tasks, by means of environment recognition of the robot side, target object characteristics of a door body and whether execution ofthe tasks is completed or not are autonomously judged, the man-made remote operation and control complex operation and control mode is omitted, and high intelligence and wide applicability of autonomous task execution are achieved.

Description

technical field [0001] The invention relates to the technical field of high-intelligence robot control, in particular to an action planning system and method for a high-intelligence robot. Background technique [0002] The control system of the robot is the core mechanism for controlling the robot, and it is also the place where the machine intelligence is generated. At present, there is still a large room for improvement in the existing robot controller system. The description of action planning often only involves the teaching stage or the preset action model stage, which needs to input a large number of action models in advance or experience a lot of training time. The robot mouth movement planning control method proposed is also based on the "pseudo-intelligent" action planning matched by the preset model, which lacks the high intelligence of independent realization. [0003] In addition, the action planning of robots in the prior art often only involves the action inte...

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