Survey on Glass And Façade-Cleaning Robots: Climbing Mechanisms, Cleaning Methods, and Applications View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

TaeWon Seo, Youngjae Jeon, Changmin Park, Jongwon Kim

ABSTRACT

Cleaning dirty spaces is a very important task for human beings to maintain their quality of life. Recently, many high-rise buildings have been constructed, and their façades are easily contaminated by dust and pollution, especially in Asian countries such as China and Korea. Human workers are cleaning the façades, which are mostly made of glass, by hanging on to a gondola or rope, which entails spending a long time in midair, and this is dangerous work due to the risk of falling. To help humans avoid this dangerous and hard work, many researchers have tried to develop unmanned façade-cleaning robots; however, there are many issues to be solved before cleaning robots become efficient and popular. In this survey, we investigate and analyze robots used for cleaning building façades and glass. The robot are classified by types of climbing and attaching mechanisms, and their cleaning methods, mobility, and obstacle-overcoming performances are analyzed. In this paper, we also include for discussion some suggestions for making the robots more effective in real environments, and we expect that our work can provide reference to assist in the development of façade-cleaning robots for the real world. More... »

PAGES

367-376

References to SciGraph publications

  • 2009-12. Development and control of flexible pneumatic wall-climbing robot in JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY
  • 2018-04. A Review on Eco-Friendly Quantum Dot Solar Cells: Materials and Manufacturing Processes in INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
  • 2006-09. A biomimetic climbing robot based on the gecko in JOURNAL OF BIONIC ENGINEERING
  • 2019-02. Optimal Parameter Design of a Cleaning Device for Vertical Glass Surfaces in INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
  • 2009-10. A novel design of permanent magnet wheel with induction pin for mobile robot in INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
  • 2002-12. Development of a Tracked Climbing Robot in JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
  • 2017-07. Wall and ceiling climbing quadruped robot with superior water repellency manufactured using 3D printing (UNIclimb) in INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
  • 2015-01. Window cleaning system with water circulation for building façade maintenance robot and its efficiency analysis in INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
  • 2005-03. Climbing Robots’ Mobility for Inspection and Maintenance of 3D Complex Environments in AUTONOMOUS ROBOTS
  • 2006. Machine Vision Guidance System for a Modular Climbing Robot used in Shipbuilding in CLIMBING AND WALKING ROBOTS
  • 2006. A Robot that Climbs Walls using Micro-structured Polymer Feet in CLIMBING AND WALKING ROBOTS
  • 2007-12-01. ROBICEN: A pneumatic climbing robot for inspection of pipes and tanks in EXPERIMENTAL ROBOTICS V
  • 2006-08. Design and realization of a non-actuated glass-curtain wall-cleaning robot prototype with dual suction cups in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2018. Development of a Module Robot for Glass Façade Cleaning Robot in AETA 2017 - RECENT ADVANCES IN ELECTRICAL ENGINEERING AND RELATED SCIENCES: THEORY AND APPLICATION
  • 2005. SIRIUSc — Facade Cleaning Robot for a High-Rise Building in Munich, Germany in CLIMBING AND WALKING ROBOTS
  • 2006. Concept for Energy-autarkic, Autonomous Climbing Robots in CLIMBING AND WALKING ROBOTS
  • 2014-10. Bio-inspired adhesive systems for next-generation green manufacturing in INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s40684-019-00079-4

    DOI

    http://dx.doi.org/10.1007/s40684-019-00079-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112475101


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