Abstract: A robot cluster scheduling system includes a user layer, an intermediate layer, an application layer, a plug-in layer and a data persistence layer. The intermediate layer includes a processor mapping module and a state acquisition module. The application layer includes a task scheduling module and a traffic scheduling module. The plug-in layer includes a task solving engine and a traffic planning engine. The task solving engine is configured to determine a target robot according to a parameter of a task and state data. The traffic planning engine is configured to determine a target route. The task solving engine and the traffic planning engine each provide an application programming interface (API).

Abstract: A point stabilization control method includes determining a first displacement of the robot relative to the target object according to a position of the target object and an initial position of the robot; determining a to-be-offset displacement according to the first displacement and a second displacement of the target object relative to a target point and determining a target motion rate and a target motion direction of the robot according to the to-be-offset displacement and a mapping relation of a motion rate, a motion direction and the to-be-offset displacement; determining a current position of the robot according to the target motion rate and the target motion direction; and using the current position as the initial position and returning to the preceding steps until a distance between the current position of the robot and a position of the target point is less than a preset threshold.

Abstract: A robot cluster scheduling system includes a user layer, an intermediate layer, an application layer, a plug-in layer and a data persistence layer. The intermediate layer includes a processor mapping module and a state acquisition module. The application layer includes a task scheduling module and a traffic scheduling module. The plug-in layer includes a task solving engine and a traffic planning engine. The task solving engine is configured to determine a target robot according to a parameter of a task and state data. The traffic planning engine is configured to determine a target route. The task solving engine and the traffic planning engine each provide an application programming interface (API).

Abstract: A point stabilization control method includes determining a first displacement of the robot relative to the target object according to a position of the target object and an initial position of the robot; determining a to-be-offset displacement according to the first displacement and a second displacement of the target object relative to a target point and determining a target motion rate and a target motion direction of the robot according to the to-be-offset displacement and a mapping relation of a motion rate, a motion direction and the to-be-offset displacement; determining a current position of the robot according to the target motion rate and the target motion direction; and using the current position as the initial position and returning to the preceding steps until a distance between the current position of the robot and a position of the target point is less than a preset threshold.