An inverse kinematics solution system for use with a robot, which is used for obtaining a joint angle value corresponding to a target pose value on the basis of an inputted target pose value and degree of freedom of a robot and which comprises: a parameters initialization module, an inverse kinematics scheduler, a Jacobian calculating unit, a pose updating unit and a parameters selector. The system is implemented by means of hardware and may quickly obtain motion parameters, which are used for controlling a robot, while reducing power consumption.

An inverse kinematics solution system for use with a robot, which is used for obtaining a joint angle value corresponding to a target pose value on the basis of an inputted target pose value and degree of freedom of a robot and which comprises: a parameters initialization module, an inverse kinematics scheduler, a Jacobian calculating unit, a pose updating unit and a parameters selector. The system is implemented by means of hardware and may quickly obtain motion parameters, which are used for controlling a robot, while reducing power consumption.

Provided is a method for calculating a control attainable set of a redundant drive system under a linear constraint, which relates to the technical field of dynamics control allocation of the redundant drive system. The method first constructs a control attainable set problem for a redundant drive system under each pair of linear constraint control components, and then classifies boundary surfaces corresponding to a control set into three types of rectangular boundary surfaces and one type of triangular boundary surface. By grouping the boundary surfaces, the method determines a key boundary surface for each group to form a boundary surface set. After removing duplicate boundary surfaces from the boundary surface set, the method calculates a boundary surface of a control attainable set, and finally obtains the control attainable set.