The application belongs to the technical field of
robot dynamics parameter identification, and discloses a double sparse efficient identification method and
system for
robot dynamics parameters. The method comprises the following steps: S1, collecting joint positions, joint speeds, joint torques and joint accelerations of a
robot to be processed at each time; S2, constructing an implicit dynamics equation of the joint torque by taking the joint torque as a target; S3, constructing a
base function database, evaluating the importance of each
base function in the
base function database, thereby completing the first sparse of the base function; and performing sparsification on the
coefficient matrix to make some elements in the
coefficient matrix 0, thereby completing the second sparse of the base function, determining the base function and the
coefficient matrix, and realizing the acquisition of an explicit dynamics equation of the joint torque. Through the application, the technical problems of complex theoretical modeling or low
interpretability of a
black box model in the prior art are solved.