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Latest News for September 20th, 2019

Karydis receives an NSF Award on Extracting Dynamics from Limited Data for Modeling and Control of Unmanned Autonomous Systems

This project investigates the mechanisms that uncertainties in robot-environment interactions affect (small) robot behavior. Small robot motion is more stochastic since errors at the actuators and uncertain interactions with the environment amplify errors in pose. The goal is to introduce a platform-agnostic, data-driven modeling framework to quantify uncertainty and subsequently exploit it via control for...