Solving the Inverse Kinematics of A Series Robotic Arm Based on Gradient Descent
The gradient descent method was applied to solve the inverse kinematics of a robotic arm,which solved the problem of solving the inverse kinematics of a series of robotic arms with different degrees of freedom;By utilizing the intermediate solutions during the solving process,the trajectory planning task was completed while ensuring system performance;In response to the problem of poor trajectory obtained through gradient descent,an improved gradient descent was adopted to optimize the trajectory. We built a simulation platform using OpenGL and C++to simulate six degree of freedom and seven degree of free-dom robotic arms. The convergence accuracy of the algorithm can reach 0.01 mm. The experimental results show that using gradient descent for solving inverse kinematics of robotic arms is practical.