Towards staircase navigation and maintenance using self-reconfigurable service robot

Anh Vu Le, Tan Li Ann Pamela, Abdullah Aamir Hayat, Bharath Rajiv Nair, Phone Thiha Kyaw, Minh Bui Vu, Dinh Tung Vo, Mohan Rajesh Elara

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The staircase is a fundamental component of buildings that requires proper cleaning and maintenance. This paper illustrates the design and navigation framework of the reconfigurable staircase-service robot called sTetro-C. This novel robotic platform has integrated a robust intra-reconfigurable locomotion system with a stable lifting mechanism and a wet cleaning module to enable smooth navigation on both flat and uneven terrain of the building floor and stairs. Moreover, the staircase climbing framework by sTetro-C utilizes a time-of-flight sensor, a LiDAR sensor, and an RGBD RealSense camera for map building and localization. The control system enables the robot to identify, navigate, and move efficiently on the staircase. The mechanical and electronics systems are also presented with detailed stability, force and kinematic analysis of the lifting and wheels systems, respectively. Simulation results in Gazebo, along with experimental trials in a real environment on the building's staircase, have demonstrated improved stability of the lifting system and enhanced locomotion of the sTetro-C.

Original languageEnglish
Article number125969
JournalExpert Systems with Applications
Volume266
DOIs
Publication statusPublished - Mar 25 2025
Externally publishedYes

Keywords

  • Automation in building
  • Autonomous staircase cleaning
  • Cleaning system
  • Lifting system control
  • Self-reconfigurable robot
  • Service robot

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

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