Simin Liu — accepted AI-conference papers

2026

Low Cost, Easily Manufactured, Highly Flexible Strain and Touch Sensitive Fiber for Robotics Applications

Christian Diaz Herrera, Srushti Raste, Simin Liu, Miles Modeste, Jiyang (Patton) Yin, Katelyn McCall +6

ICRA 2026poster

Existing stretch and touch sensors for robots are generally expensive with respect to at least one of material costs, required manufacturing equipment, or manufacturing time. We present and experimentally characterize a conductive fiber made using only inexpensive commercial off-the-shelf parts (con…

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2023

Learning the Positions in CountSketch

Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David Woodruff

ICLR 2023top-25%

We consider sketching algorithms which first compress data by multiplication with a random sketch matrix, and then apply the sketch to quickly solve an optimization problem, e.g., low-rank approximation and regression. In the learning-based sketching paradigm proposed by Indyk et al., the sketch mat…

Cited by 20 Source ↗PDF ↗Scholar ↗

2022

Safe Control Under Input Limits with Neural Control Barrier Functions

Simin Liu, Changliu Liu, John Dolan

CoRL 2022poster

We propose new methods to synthesize control barrier function (CBF) based safe controllers that avoid input saturation, which can cause safety violations. In particular, our method is created for high-dimensional, general nonlinear systems, for which such tools are scarce. We leverage techniques fro…

Cited by 55 Source ↗code ↗Scholar ↗

2019

Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning

Anusha Nagabandi, Ignasi Clavera, Simin Liu, Ronald S. Fearing, Pieter Abbeel, Sergey Levine +1

ICLR 2019poster

Although reinforcement learning methods can achieve impressive results in simulation, the real world presents two major challenges: generating samples is exceedingly expensive, and unexpected perturbations or unseen situations cause proficient but specialized policies to fail at test time. Given tha…

Cited by 740 Source ↗PDF ↗Scholar ↗