Concrete paving productivity improvement using a multi-task autonomous robot

Daniel Castro-Lacouture, Christopher Maynard, L. Sebastian Bryson, Robert L. Williams, Paul Bosscher

Producción científica: Conference contributionrevisión exhaustiva

4 Citas (Scopus)

Resumen

To improve productivity in conventional concrete construction, autonomous robots that perform specific tasks are being developed. Single-task robots are capable of enhancing specific functions, though their impact on the overall productivity remains unclear. A robot that incorporates each task-specific piece of machinery used in the concrete paving process into one fully autonomous unit is evaluated. Assessing potential productivity from the use of a fully automated process is a required step for developing a full scale-system. With the purpose of identifying productivity benefits in an automated concrete paving operation, two concrete paving processes will be compared using simulation tools. One process is the conventional operation using intensive labour, slip form paving machine and auxiliary equipment. The other process is the automated operation using a fully autonomous robot. Applications of this assessment methodology based in simulation will allow for the determination of productivity indicators of automated operations in hazardous environments, using the respective results to complement prototypical tests.

Idioma originalEnglish
Título de la publicación alojadaAutomation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction
Páginas223-228
Número de páginas6
EstadoPublished - 2007
Evento24th International Symposium on Automation and Robotics in Construction, ISARC 2007 - Kochi, India
Duración: sept 19 2007sept 21 2007

Serie de la publicación

NombreAutomation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction

Conference

Conference24th International Symposium on Automation and Robotics in Construction, ISARC 2007
País/TerritorioIndia
CiudadKochi
Período9/19/079/21/07

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction

Huella

Profundice en los temas de investigación de 'Concrete paving productivity improvement using a multi-task autonomous robot'. En conjunto forman una huella única.

Citar esto