Arne Moos

A Large-Scale Dataset for Humanoid Robotics Enabling a Novel Data-Driven Fall Prediction

In this paper, we present a comprehensive dataset comprising 37.9 hours of sensor data collected from humanoid robots, including 18.3 hours of walking and 2,519 recorded falls. This extensive dataset is a valuable resource for various robotics and machine learning applications. Leveraging this data,