Tom P. Huck — accepted AI-conference papers

2023

Hazard Analysis of Collaborative Automation Systems: A Two-layer Approach based on Supervisory Control and Simulation

Tom P. Huck, Yuvaraj Selvaraj, Constantin Cronrath, Christoph Ledermann, Martin Fabian, Bengt Lennartson +1

ICRA 2023poster

Safety critical systems are typically subjected to hazard analysis before commissioning to identify and analyse potentially hazardous system states that may arise during operation. Currently, hazard analysis is mainly based on human reasoning, past experiences, and simple tools such as checklists an…

Cited by 2 Source ↗Scholar ↗

2022

Evaluation of On-Robot Capacitive Proximity Sensors with Collision Experiments for Human-Robot Collaboration

Hosam Alagi, Serkan Ergun, Yitao Ding, Tom P. Huck, Ulrike Thomas, Hubert Zangl +1

IROS 2022poster

A robot must comply with very restrictive safety standards in close human-robot collaboration applications. These standards limit the robot's performance because of speed reductions to avoid potentially large forces exerted on humans during collisions. On-robot capacitive proximity sensors (CPS) can…

Cited by 5 Source ↗Scholar ↗

2021

Virtual Adversarial Humans finding Hazards in Robot Workplaces

Tom P. Huck, Christoph Ledermann, Torsten Kröger

ICRA 2021poster

During the planning phase of industrial robot workplaces, hazard analyses are required so that potential hazards for human workers can be identified and appropriate safety measures can be implemented. Existing hazard analysis methods use human reasoning, checklists and/or abstract system models, whi…

Cited by 8 Source ↗Scholar ↗