Steffen Ihlenfeldt — accepted AI-conference papers

2025

A No-code Approach for Intuitive Robot Programming for Process-Aligned Surface Processing

Jayanto Halim, Mohamad Bdiwi, Steffen Ihlenfeldt

IROS 2025

This work introduces a novel method for the generation of process-aligned robotic pathways specifically designed for surface processing applications. The proposed approach integrates the interpretation of sensor data, computer vision algorithms, and process knowledge modeling to address the complexi

Cited by 0 Source ↗Scholar ↗

2022

Intrusion Distance and Reaction Time Estimation for Safe and Efficient Industrial Robots

Aquib Rashid, Ibrahim Al Naser, Shuxiao Hou, Mohamad Bdiwi, Matthias Putz, Steffen Ihlenfeldt

ICRA 2022poster

Circular economy and agile manufacturing require a safe and efficient industrial robot system working in close human proximity. Although, close proximity local sensing enables safe collaboration with small cobots. However, they cannot ensure safety at high velocities with a heavy-duty industrial rob…

Cited by 4 Source ↗Scholar ↗