Dirk Müller — accepted AI-conference papers

2025

MonLog: MONotonic-Constrained LOGistic Regressions for Automated Safety Curve Design

Alessandro Melone, Robin Jeanne Kirschner, Dirk Müller, Abdalla Swikir, Sami Haddadin

ICRA 2025

The increasing integration of robots in close human environments necessitates robust safety measures that can adapt to evolving tasks and conditions. Current standards rely on task-specific safety evaluations that are often inflexible, requiring repeated assessments whenever task parameters change.

Cited by 0 Source ↗Scholar ↗

2024

Towards Unconstrained Collision Injury Protection Data Sets: Initial Surrogate Experiments for the Human Hand

Robin Jeanne Kirschner, Jinyu Yang, Edonis Elshani, Carina M. Micheler, Tobias Leibbrand, Dirk Müller +4

IROS 2024

Safety for physical human-robot interaction (pHRI) is a major concern for all application domains. While current standardization for industrial robot applications provide safety constraints that address the onset of pain in blunt impacts, these impact thresholds are difficult to use on edged or poin

Cited by 8 Source ↗Scholar ↗