For the inverse kinematics solution problem of redundant manipulator cannot be effectively solved by conventional methods, the manipulator inverse kinematics solving method based on improved grey wolf algorithm was put forward. The general reverse learning initialization and explosion mechanism of fireworks algorithm were combined to make the algorithm with strong anti-interference and global sex, by which the premature and local optimal problem could be effectively avoided. Ten classical test functions were used to test the performance of the improved grey wolf algorithm.The test results show that the improved grey wolf algorithm has high convergence accuracy and strong anti-interference ability. Taking 7 DOF drilling robot manipulator inverse kinematics solution as an example, MDH method was adopted to establish the kinematics model, the improved grey wolf algorithm was contrasted with particle swarm, simulated annealing and the traditional grey wolf algorithm. The results show that the algorithm performance is better than other algorithms, which can effectively solve inverse kinematics of redundant manipulator.