Difference between revisions of "Benchmark dataset for training/testing of Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots"

From robotica.unileon.es
Jump to: navigation, search
Line 1: Line 1:
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 Karen and shown in Fig 1, with an on-board Real Time Location System (RTLS) was used to gather the data.
+
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 ==
 
== Materials ==
Line 8: Line 8:
 
Additional information about Karen and the devices/packages used to get data is given below.
 
Additional information about Karen and the devices/packages used to get data is given below.
  
=== Karen robot ===
+
=== Orbi-One robot ===
  
Fig. 1 shows the autonomous robot Karen, used in the experiments. Karen is a mobile manipulator built by the Robotics Group of the Universidad de León (Spain). It has two arms with 7 degrees of freedom, 3 fingers each, and a mobile base. The control of the robot is based on the Robot Operating System (ROS) framework.
+
Orbi-One, shown at Fig 1 (A), is an assistant robot manufactured by [http://www.robotnik.es/manipuladores-roboticos-moviles/rb-one/ Robotnik]. The software to control the robot hardware is based on [http://www.ros.org/ ROS].
  
 
[[File:KarenWithKIO.jpg|thumb|'''Fig. 1''': Karen and KIO RTLS: a beacon (1), and tag on the robot (2).]]
 
[[File:KarenWithKIO.jpg|thumb|'''Fig. 1''': Karen and KIO RTLS: a beacon (1), and tag on the robot (2).]]

Revision as of 09:52, 11 October 2017

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).

Recording procedure

Data

v1.0