Summary: This dataset is collected from the Genesis pick-and-place production system, which includes sensor data for tasks like object picking, placement, and system diagnostics.
| Parameter | Value |
|---|---|
| Name | Genesis demonstrator data for machine learning |
| Labeled | Yes |
| Time Series | Yes |
| Simulation | INA |
| Missing Values | Yes |
| Dataset Characteristics | Multivariate, Time-Series |
| Feature Type | Real, Integer |
| Associated Tasks | Regression, Classification |
| Number of Instances | INA |
| Number of Features | INA |
| Date Donated | INA |
| Source | Kaggle |
Collected from a highly automated Genesis pick-and-place demonstrator, the dataset includes detailed sensor readings such as gripper position, pressure, and system states. It aims to support machine learning tasks in robotic automation.
The data encompasses various aspects of the automated picking process, detailing sensor feedback and operational states critical for optimizing the pick-and-place cycles. The dataset is designed to explore challenges in robotics and automation within a controlled environment.
Robotics, Automation, Sensor data, Machine learning, Industrial systems