2 papers
cs.RO2026
ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies
Andrew Zou Li, Gokul Swamy, Yonatan Bisk +1
Generative control policies (GCPs), such as diffusion policies and flow-based vision-language-action models, enable test-time scaling in robot control. Test-time compute can be all…
cs.RO2024
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent
Yewon Lee, Andrew Z. Li, Philip Huang +7
Planning for sequential robotics tasks often requires integrated symbolic and geometric reasoning. TAMP algorithms typically solve these problems by performing a tree search over h…