Panthera: Design of a reconfigurable pavement sweeping robot

Abdullah A. Hayat, Rizuwana Parween, Mohan R. Elara, K. Parsuraman, Prathap S. Kandasamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Citations (Scopus)

Abstract

The pavement cleaning is essential to maintain urban hygiene and keep the long stretch of pavements spick and span. This paper reports on the development of novel reconfigurable pavement cleaning robot named Panthera. Reconfiguration in Panthera is gained by the expansion and contraction of the body frame using a single lead screw shaft and linkages mechanism. It gives the capability to reshape itself based on factors like pavement width and pedestrian density. The independent steering action is derived using two in-wheels motors for each steering axis. This imparts the flexibility in motion and make system omnidirectional and allows the convenient movement of the robot in any direction along the pavement. It is powered using onboard batteries that generate lesser noise compared to the existing solution powered with gasoline. The modeling and steering kinematics is presented along with experimental results of the path followed and discussion supporting the robot's capability.

Original languageEnglish
Title of host publication2019 International Conference on Robotics and Automation, ICRA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7346-7352
Number of pages7
ISBN (Electronic)9781538660263
DOIs
Publication statusPublished - May 2019
Externally publishedYes
Event2019 International Conference on Robotics and Automation, ICRA 2019 - Montreal, Canada
Duration: May 20 2019May 24 2019

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2019 International Conference on Robotics and Automation, ICRA 2019
Country/TerritoryCanada
CityMontreal
Period5/20/195/24/19

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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