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Online Foundation Model Selection in Robotics
We thus formulate a user-centric online model selection problem and propose a novel solution that combines an open-source encoder to output context and an online learning algorithm that processes this context.
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection
Instead, we propose a cooperative data sampling strategy where geo-distributed AVs collaborate to collect a diverse ML training dataset in the cloud.
Differentially Private Timeseries Forecasts for Networked Control
We analyze a cost-minimization problem in which the controller relies on an imperfect timeseries forecast.
Adversarial Examples for Model-Based Control: A Sensitivity Analysis
We propose a method to attack controllers that rely on external timeseries forecasts as task parameters.
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