Numerical Stability of Iterative Solvers for Inverse Kinematics

نویسنده

  • Michael Driscoll
چکیده

In its basic formulation, the inverse kinematics (IK) problem seeks to compute a set of joint angles such that the end of a given joint chain coincides with a certain position in space. Further constraints, such as orientation, velocity, and preferences for curvature, are possible, but beyond the scope of this project. In this report, we describe the basic forward and inverse kinematics problems, describe mathematical techniques for solving them, and present results from our implementations. In particular, we study the Jacobian Pseudoinverse and Damped Least Squares methods. They can be numerically unstable, so we focus on cases when such problems arise. We conclude that Damped Least Squares performs better for our benchmarks, and given mathematical intuition as to why this is the case.

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تاریخ انتشار 2014