LOInK: Learned Optimal Inverse Kinematics via Structured Neural Surrogate Models

Michael Somerfield, Damian Abood, Ruigang Wang +1

We introduce Learned Optimal Inverse Kinematics (LOInK), a method to generate approximately optimal solutions to an inverse kinematics problem. When trained on data consisting of s…