Construction Automation and Robotics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 441

Special Issue Editors


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Guest Editor
Department of Civil and Environmental Engineering, Hanyang University, Seoul 04763, Republic of Korea
Interests: GIS; BIM; construction automation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
Interests: robotics; underwater robots; mobile robots

Special Issue Information

Dear Colleagues,

New technologies are emerging for the automation of construction and maintenance processes. The ever-increasing labor turnover rate, safety concerns, and competition in today's construction market has made the emergence of new technologies inevitable. New construction technologies include both soft and hard automation. Soft automation refers to the use of information technology, while hard automation refers to the use of automated machinery and robots. They are often combined to achieve a specific goal. The core foundations of emerging construction technologies are computing/information technology, BIM, AI, sensing, and robotics. In this regard, this Special Issue invites you to submit original research papers regarding ‘Construction Automation and Robotics’. Topics may include, but are not limited to, the following:

  • Data sensing and modeling technologies such as digital twin, Internet of Things, sensor networks, drones
  • Construction automation technologies such as intelligent construction equipment, robots, and human–machine interaction
  • Data-driven artificial intelligence technologies such as big data and machine learning
  • Visualization technologies such as virtual reality, augmented reality, and mixed reality
  • Computer vision technologies such as digital image processing, object detection and tracking, location identification, and visual pattern recognition
  • nD modeling and simulation technologies such as virtual physical systems and processor modeling
  • State-of-the-art methods such as modular, prefabrication, and 3D printing
  • BIM and construction automation/robotics application technology
  • Construction automation/robotics-based construction project management
  • Construction automation/robotics-related systems and policies

Prof. Dr. Jongwon Seo
Dr. Jinhyun Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • construction automation
  • robotics
  • BIM

Published Papers (1 paper)

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Research

20 pages, 19579 KiB  
Article
Integrating Task Component Design in Excavator–Truck Operation Planning: Enhancing Automation Systems through a Web-Based System
by Soohyun Park, Jeonghwan Kim, Kiyong Cho and Jongwon Seo
Appl. Sci. 2024, 14(14), 6052; https://doi.org/10.3390/app14146052 - 11 Jul 2024
Viewed by 300
Abstract
Excavator–truck operations, characterized by their repetitive excavation and loading tasks, present a prime candidate for automation. While numerous studies have aimed to automate the earthworks, practical implementations remain scarce. This research introduces a task component design focused on excavator–truck operation planning to improve [...] Read more.
Excavator–truck operations, characterized by their repetitive excavation and loading tasks, present a prime candidate for automation. While numerous studies have aimed to automate the earthworks, practical implementations remain scarce. This research introduces a task component design focused on excavator–truck operation planning to improve the functionality of an earthwork automation system. To address this, fundamental task primitives necessary for executing excavation tasks were engineered, and a web-based system was developed to automate the generation of work plans for both point and trench excavation through algorithmic processes. Additionally, a JSON-based protocol was introduced to facilitate efficient integration with other subsystems. Field tests were conducted to validate the effectiveness of the newly developed algorithm and protocol within the broader context of earthwork automation systems. The results demonstrated the successful implementation of the task components, confirming their operational viability and seamless integration into the existing earthwork automation framework. Full article
(This article belongs to the Special Issue Construction Automation and Robotics)
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