Differentiable Collision Detection for a Set of Convex Primitives — mentioned by BenoitP

Thu, 02 Apr 2026 07:19:28 GMT

I believe we could get there eventually. For example for collision there is work to make it differentiable (or use a local surrogate at the collision point): https://arxiv.org/abs/2207.00669 The robotics will need to connect vision with motors with haptics with 3D modelling. And to propagate gradient seamlessly. For calibrating torque with the the elastic deformation of the material for example. After all matter is not discreet at small scales (staying above the atomic scale) All this will require all modules to be compatible with differentiability. It'll be expensive at first, but I'm sure…

Paper and discussion history. A mention is not an endorsement.

Differentiable Collision Detection for a Set of Convex Primitives · HackerPapers discussions

Differentiable Collision Detection for a Set of Convex Primitives — mentioned by BenoitP