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Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles
We propose a model predictive control approach for autonomous vehicles that exploits learned Gaussian processes for predicting human driving behavior.
Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
The model predictive controller uses these Gaussian process models to achieve precise motion and force control under stochastic constraint satisfaction.
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