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Kim Peter Wabersich

2 accepted papers

2021

A Predictive Safety Filter for Learning-Based Racing Control

RA-L 2021

The growing need for high-performance controllers in safety-critical applications like autonomous driving motivated the development of formal safety verification techniques. In this letter, we design and implement a predictive safety filter that is able to maintain vehicle safety with respect to tra

Cited by 60SourceScholar
2015

Automatic testing and minimax optimization of system parameters for best worst-case performance

IROS 2015poster

Robotic systems typically have numerous parameters, e.g. the choice of planning algorithm, real-valued parameters of motion and vision modules, and control parameters. We consider the problem of optimizing these parameters for best worst-case performance over a range of environments. To this end we…

Cited by 7SourceScholar