1 code implementation • 29 Feb 2020 • Tim von Oehsen, Alexander Fabisch, Shivesh Kumar, Frank Kirchner
We argue that for rigid-body kinematics one of the first proposed machine learning (ML) solutions to inverse kinematics -- distal teaching (DT) -- is actually good enough when combined with differentiable programming libraries and we provide an extensive evaluation and comparison to analytical and numerical solutions.
