Revolutionizing Construction and Project Management: The Impact of Human–Robot Collaboration, AI, and AR
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 271
Special Issue Editors
Interests: engineering supply chain; BIM; reinforcement learning; digital twin; AI agent;construction management
* We dedicate the memory of the editor, Ningshuang Zeng, who passed away during this special issue period.
Interests: project management; digital innovation; AI-enabled management; knowledge management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the world moves closer to the mid-21st century, the relationship between humans and technology continues to deepen through ongoing innovation, driving unprecedented transformation in the construction and project management sectors. The evolving interplay between technological advancement and human engagement has become a central force behind this shift, particularly evident in areas such as human–robot collaboration (HRC), artificial intelligence (AI), and immersive reality, as represented by augmented reality (AR).
This Special Issue explores the underlying theories, methods, and technological innovations that are driving this evolution. Advances in collaborative robotics, AI-enabled automation and predictive analytics, immersive-reality-assisted visualization, and cyber–physical integration are redefining traditional boundaries between humans, machines, and digital environments. These developments are not only reshaping productivity and decision-making but also transforming the fundamental paradigms of production and project management, enabling new modes of human–technology interaction, skill development, and boundary-spanning coordination. At the same time, the sector faces critical challenges: creating intuitive human–robot interfaces, scaling AI for real-time project control, ensuring safety in mixed human–machine teams, and embedding immersive and AR technologies into dynamic site environments. This Special Issue welcomes contributions that advance theoretical and practical understanding, overcome emerging barriers, and shape the future of technology-driven construction and project management.
Dr. Ningshuang Zeng
Dr. Yan Liu
Dr. Xuling Ye
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 250 words) can be sent to the Editorial Office for assessment.
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. Buildings 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 2600 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
- artificial intelligence
- human–robot collaboration
- immersive reality
- augmented reality
- construction
- project management
- built environment
- digital innovation
- infrastructure
- big data
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