ROBOTIC SOLUTION FOR OPENING DOORS IN CONTAINED OR HIGH BIOLOGICAL RISK FACILITIES

Jose Luis Outón, Aitor Ibarguren, Iván Villaverde, Paul Daelman, Damien Sallé, José María Martínez-Otzeta, Igor Rodríguez, Basilio Sierra

Research output: Contribution to journalArticlepeer-review

Abstract

In a context of a pandemic caused by the SARS-CoV-2 virus, there is a need to disinfect busy areas such as schools, hospitals, nursing homes, laboratories, public transport, etc. using techniques that pose a risk to health. In turn, the robotics industry is at a pivotal moment with great developments and applications in numerous applications. Therefore, the figure of robots is of great interest as they have the ability to perform these tasks autonomously. However, there are great challenges in current robotics that must be resolved in order to perform tasks correctly. This is the specific case of door opening. Something necessary since to achieve a complete disinfection the robot must go through all the rooms of the installation. In this work, a solution to the problem of opening doors is presented by means of a mobile robot to which artificial perception techniques are applied for detection, handling and autonomous navigation.

Original languageEnglish
Pages (from-to)487-491
Number of pages5
JournalDyna (Spain)
Volume98
Issue number5
DOIs
Publication statusPublished - Sept 2023

Keywords

  • AIMM
  • artificial perception
  • autonomous navigation
  • door opening
  • learning by demonstration
  • mobile robotics
  • sensor fusion
  • skills-based programming

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