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Robotic Support System for Visually Impaired People Using Artificial Vision and Automatic Control Techniques

  • Perez Checa, Anibal Roberto (Col)
  • Caiza Guanochanga, Gustavo Javier (Col)
  • Rumipamba Lopez, Jose Alcides (PI)
  • Flores Aldas, Christian Enrique (Student)
  • Romero Saltos, Jhonny Macgyver (Student)
  • España Tarira, Luis Gabriel (Student)
  • Oña Paredes, Edwin Moisés (Student)
  • Tito Salmeron, Nadim Jacob (Student)
  • Cusco Sanchez, Jhon Carlos (Student)
  • Jácome Miranda, Cristian Alexis (Student)
  • Vaca Vaca, Jonathan Daniel (Student)
  • Moromenacho Oña, Omar Alexander (Student)
  • Yanguicela Peralta, Jairo Danilo (Student)
  • Gutierrez Gavilanez, Cristhian Andres (Student)
  • Herrera Orbea, Hedian Xavier (Student)
  • Leon Alban, John Efrain (Student)

Project Details

Description

This project addresses the critical need to enhance the mobility and independence of visually impaired individuals, who face significant limitations in enclosed spaces such as public buildings or healthcare centers. Existing assistance systems are often prohibitively expensive. The primary goal is to develop a low-cost robotic guidance system to overcome these economic and social barriers. The methodology employs the scientific method and the research spiral, starting with an exhaustive study of the state-of-the-art in control techniques for mobility assistants. Subsequently, tests will be conducted on mobile robotic platforms to measure hardware-software latency, focusing on computer vision. The core step involves developing a functional robotic prototype capable of navigating and guiding blind users through obstacle-laden indoor environments by integrating automatic control. Finally, the prototype will be validated with volunteers for necessary corrective maintenance, rigorously documenting the results in scientific publications throughout each research phase.<br/><br/><b>Goal</b>: <br/>To develop a low-cost robotic support system designed to guide visually impaired individuals in indoor environments, utilizing advanced computer vision and automatic control techniques.<br/><br/><b>Research lines</b>: <br/>Robotics
StatusFinished
Effective start/end date28/02/1830/12/18

Keywords

  • Robotic system
  • Visual impairment
  • Robotic guidance
  • Computer vision
  • Automatic control
  • Low-cost
  • Assisted mobility
  • Indoor navigation
  • Social inclusion
  • Robotic prototyping

CACES Knowledge Areas

  • 8217A Mechatronics

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