Remote navigation of a mobile robot in an RFID-augmented environment

  • Authors:

  • Mika Luimula;Kirsti Sääskilahti;Timo Partala;Sakari Pieskä;Juha Alaspää

  • Affiliations:

  • RFMedia Laboratory, CENTRIA Research and Development, Ylivieska, Finland 84100;RFMedia Laboratory, Oulu Southern Institute, University of Oulu, Ylivieska, Finland 84100;Institute of Human-Centered Technology, Tampere University of Technology, Tampere, Finland 33101;RFMedia Laboratory, CENTRIA Research and Development, Ylivieska, Finland 84100;RFMedia Laboratory, CENTRIA Research and Development, Ylivieska, Finland 84100

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

In the current article, we address the problem of constructing radiofrequency identification (RFID)-augmented environments for mobile robots and the issues related to creating user interfaces for efficient remote navigation with a mobile robot in such environments. First, we describe an RFID-based positioning and obstacle identification solution for remotely controlled mobile robots in indoor environments. In the robot system, an architecture specifically developed by the authors for remotely controlled robotic systems was tested in practice. Second, using the developed system, three techniques for displaying information about the position and movements of a remote robot to the user were compared. The experimental visualization techniques displayed the position of the robot on an indoor floor plan augmented with (1) a video view from a camera attached to the robot, (2) display of nearby obstacles (identified using RFID technology) on the floor plan, and (3) both features. In the experiment, test subjects controlled the mobile robot through predetermined routes as quickly as possible avoiding collisions. The results suggest that the developed RFID-based environment and the remote control system can be used for efficient control of mobile robots. The results from the comparison of the visualization techniques showed that the technique without a camera view (2) was the fastest, and the number of steering motions made was smallest using this technique, but it also had the highest need for physical human interventions. The technique with both additional features (3) was subjectively preferred by the users. The similarities and differences between the current results and those found in the literature are discussed.