Fundamental Challenges in Deep Learning for Stiff Contact Dynamics

Learning to predict robots’ motion through impact is hard—but how hard? and why? We isolate near-discontinuity, driven by material stiffness, as a key culprit; and we study how 3 distinct phenomena contribute to poor prediction at test time: chaos, under-fitting, and poor generalization.