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Andrew Zou Li

2 accepted papers

2025

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent

RA-L 2025

Planning for sequential robotics tasks often requires integrated symbolic and geometric reasoning. TAMP algorithms typically solve these problems by performing a tree search over high-level task sequences while checking for kinematic and dynamic feasibility. This can be inefficient because, typicall

Cited by 8Source ↗Scholar ↗
2024

Stepping Forward on the Last Mile

NeurIPS 2024poster

Continuously adapting pre-trained models to local data on resource constrained edge devices is the \emph{last mile} for model deployment. However, as models increase in size and depth, backpropagation requires a large amount of memory, which becomes prohibitive for edge devices. In addition, most ex…

Cited by 1Source ↗PDF ↗Scholar ↗