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 Karen robot include:

• Karen 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.

Fig. 1: Karen and KIO RTLS: a beacon (1), and tag on the robot (2).

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).