Kinematic Hand Skeleton Optimization in Jax
I've been trying to wrap my head around fwd/bwd kinematics for imitation learning, so I built a fully‑differentiable kinematic hand skeleton in JAX and visualized it with reruns new callback system in a Jupyter Notebook. This shows each joint angle and how it impacts the kinematic skeleton.
In plain words
Kinematic Hand Skeleton Optimization in JAX is a fully-differentiable hand skeleton model built in JAX for studying forward and backward kinematics in imitation learning. It visualizes joint angles and their effects on skeletal movement through an interactive Jupyter Notebook using Rerun's callback system. The tool is designed for researchers and developers working with robotic hand control and kinematic learning problems.
written from the facts on this page · September 2026
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