Nils Sichert — accepted AI-conference papers

2025

Quantifying Human Mental State in Interactive pHRI: Maintaining Balancing

Nourhan Abdulazeem, Nils Sichert, Ji Yuan Feng, Yue Hu

RA-L 2025

As robots increasingly enter domestic environments, investigating the impact of their physical behaviors and the potential to leverage human mental states during interaction becomes crucial. This study examines how a robot's active behavior (unanticipated physical actions) versus passive behavior (a

Cited by 0 Source ↗Scholar ↗

2022

UWRange: An Open ROS Framework for Simulating Acoustic Ranging and Localization for Underwater Robots under Realistic Conditions

Fabian Steinmetz, Daniel A Duecker, Nils Sichert, Christian Busse, Edwin Kreuzer, Bernd-Christian Renner

IROS 2022poster

Considering realistic characteristics of acoustic localization methods is crucial for roboticists when developing guidance and control algorithms for small and agile underwater robots. Current simulators either rely purely on geometric distancing, i.e. do not consider dynamic effects such as robot m…

Cited by 4 Source ↗Scholar ↗