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Simon Faarvang Mathiesen

2 accepted papers

2025

Global Optimization of Stochastic Black-Box Functions with Arbitrary Noise Distributions using Wilson Score Kernel Density Estimation

IROS 2025

Many optimization problems in robotics involve the optimization of time-expensive black-box functions, such as those involving complex simulations or evaluation of real-world experiments. Furthermore, these functions are often stochastic as repeated experiments are subject to unmeasurable disturbanc

Cited by 1SourceScholar
2022

A Flexible and Robust Vision Trap for Automated Part Feeder Design

IROS 2022poster

Fast, robust, and flexible part feeding is essential for enabling automation of low volume, high variance assembly tasks. An actuated vision-based solution on a traditional vibratory feeder, referred to here as a vision trap, should in principle be able to meet these demands for a wide range of part…

Cited by 5SourceScholar