AINeutralarXiv – CS AI · 11h ago6/10
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DASIP: Dynamic Test-Time Compute Scaling for Robot Control with Stochastic Interpolant Policies
Researchers introduce DA-SIP, a dynamic inference framework for robotic control that adaptively adjusts computational resources based on task difficulty. The approach reduces inference time by 2.6-4.4x while maintaining performance, addressing the computational inefficiency of fixed-budget diffusion and flow-based policies in robotics.