Fall Prediction Dataset for Humanoid Robots
Dataset Summary
This dataset consists of 37.9 hours of real-world sensor data collected from 20 Nao humanoid robots over the course of one year in various test environments, including RoboCup soccer matches. The dataset includes 18.3 hours of walking data, featuring 2519 falls. It captures a wide range of activities such as omni-directional walking, collisions, standing up, and falls on various surfaces like artificial turf and… See the full description on the dataset page: https://huggingface.co/datasets/OliverUrbann/HumanoidRobotSoccer.
