Benchmark dataset for training/testing of Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots
This data report summarizes a benchmark dataset which can be used to train and test Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartment, shown in Fig 2 , located at the Robotics Lab of the University of León (Spain). An autonomous robot, called Orbi-One and shown in Fig 1, with an on-board Real Time Location System (RTLS) was used to gather the data.
Materials
Data gathered by Orbi-One robot include:
- Orbi-One location estimates provided by a commercial RTLS, called KIO.
Additional information about Karen and the devices/packages used to get data is given below.
Orbi-One robot
Orbi-One, shown at Fig 1 (A), is an assistant robot manufactured by Robotnik. The software to control the robot hardware is based on ROS.
KIO RTLS
KIO RTLS commercial solution by Eliko has been used to provide people location at the study area. Fig 1 shows a KIO beacon (1), and a KIO tag on the robot (2).
