Three-dimensional concrete printing (3DCP) is a sustainable and green approach for rapid construction with the ability to create complex shapes to preserve the intended aesthetic appearance for an affordable cost. Even after a decade of attempts, there are many limitations and challenges to applying this technology for constructions without borders. The lack of guidelines for mix designs, quality control procedures during extrusion, printing and building phases, compatibility of material with extruder, standard testing, and guidelines to verify suitability of mixture with respect to the application and exposure conditions and limited machine capacity are several areas to be addressed for applications without borders. The development of 3DCP applications as a sustainable and green technology is another challenging task due to high Portland cement consumption in 3DCP. However, reducing the high usage of ordinary Portland cement (OPC) with pozzolanic waste materials replacement and environmentally friendly cement indicates the direction of moving 3DCP into a sustainable pathway. The authors reviewed more than 200 refereed articles published on materials and techniques in 3DCP. Inconsistency in disseminating knowledge in research articles has hindered the creation of a monolithically connected chain of research efforts and findings in accelerating the development and adoption of this technology. This paper summarizes the common approach to developing 3DCP mix designs and identifies the key areas for the future development of materials and techniques and challenges to be addressed for the global adoption of 3DCP. The current progress and challenges in the context of Australia’s construction industry and future trends for the acceptance of 3DCP are also reviewed.

The advent of Industry 4.0 has heralded advancements in Human–robot Collaboration (HRC), necessitating a deeper understanding of the factors influencing human decision making within this domain. This scoping review examines the breadth of research conducted on HRC, with a particular focus on identifying factors that affect human decision making during collaborative tasks and finding potential solutions to improve human decision making. We conducted a comprehensive search across databases including Scopus, IEEE Xplore and ACM Digital Library, employing a snowballing technique to ensure the inclusion of all pertinent studies, and adopting the PRISMA Extension for Scoping Reviews (PRISMA-ScR) for the reviewing process. Some of the important aspects were identified: (i) studies’ design and setting; (ii) types of human–robot interaction, types of cobots and types of tasks; (iii) factors related to human decision making; and (iv) types of user interfaces for human–robot interaction. Results indicate that cognitive workload and user interface are key in influencing decision making in HRC. Future research should consider social dynamics and psychological safety, use mixed methods for deeper insights and consider diverse cobots and tasks to expand decision-making studies. Emerging XR technologies offer the potential to enhance interaction and thus improve decision making, underscoring the need for intuitive communication and human-centred design.

This scoping review explores human factors that enrich the design of Human-Robot Collaboration (HRC) beyond the traditional focus on ergonomics and safety. As Industry 5.0 shifts towards a human-centric perspective, understanding the multifaceted interactions within socio-technical systems becomes crucial. The review investigates diverse fields, including design, psychology, and engineering, to identify human factors influencing the successful integration of Collaborative Robotics. The research findings confirm the need and potentiality of using the holistic lens of human factors to illuminate human-centric needs in HRC designs. Moving beyond quantitative measures, the study advocates for qualitative insights to inform the design of HRC and enhance worker conditions through individualised and contextualised experiences of collaborating with cobots. The findings contribute to advancing the understanding of HRC’s complexity and underscore the significance of user-driven perspectives in future research and design efforts.

Versatile augmented reality (AR)/mixed reality (MR) technologies align with custom manufacturers’ resource constraints and support their requirement for agility in responding to unique Industry 4.0 challenges. However, for Australian custom manufacturers, AR/MR uptake remains low. This modest-sized case study seeks to support resource-constrained custom manufacturers by exploring current AR/MR adoption challenges and potentials. Underpinned by a Research-through-Design (RtD) methodology and building upon Situated and Participative Enactment of Scenarios (SPES) methods, we reflect on using novel Microsoft HoloLens 2 AR/MR mockups to support in-situ enactments with domain experts to collaboratively imagine and design more productive and efficient augmented fabrication and assembly practices. In exploring new ways of making and doing through AR/MR, we find promising pathways for Australian custom manufacturers to add value across a product's lifecycle. Our findings identify five key areas for further research, which will be explored and developed through workshops around each identified AR/MR application area.

Augmented reality (AR)-enabled human–robot collaboration (HRC) is emerging as a critical paradigm in architectural design and fabrication, particularly for supporting real-time interaction, creative agency, and situated decision-making. As collaborative robots (cobots) become more integrated into exploratory design workflows, AR offers a means to bridge the gap between robotic precision and human intuition. This paper investigates how AR interfaces can facilitate adaptive, embodied collaboration between designers and cobots in spatially unconstrained, exploratory assembly tasks. We developed and evaluated an AR-enabled HRC system across two user studies involving architectural designers. The system allows users to preview, modify, and execute cobotic actions within a shared workspace, incorporating dynamic visual feedback and real-time spatial tracking. Drawing on principles of situated cognition and interactive fabrication, we analyse how AR supports spatial awareness, enhances user agency, and enables intuitive, adaptive interactions. The findings reveal that AR interfaces contribute to HRC through three interconnected themes: (1) improving predictive coordination by externalising cobot intentions and constraints, (2) reinforcing user agency via real-time decision-making tools, and (3) scaffolding situated learning through adaptive visual feedback. We conclude by outlining three key future directions: expanding the spatial and structural complexity of AR-HRC systems, developing more nuanced models of user-cobot interaction in design contexts, and integrating real-time structural feedback to inform user decision-making.

A variety of 3D volumetric scanners and smart-device applications are currently being used in podiatry for recording virtual foot data. The accuracy and reliability of these devices vary, resulting in a large variation in the quality of foot scans used for orthotic design. While it is widely believed that a higher quality scanner yields a better scan and thus is expected to produce a more accurate orthotic design, the direct impact of scanning quality on orthotic design has not yet been tested. Therefore, in this study, three commonly used industrial 3D scanners with varying output qualities were used to obtain foot scans of three participants in two weight-bearing conditions. A total of 54 foot scans were obtained, out of which 18 were used to design orthotic insoles using commercial software (FitFoot360). We found variation in the quality of foot scans produced by the different scanners (61.75 ± 2.23% similarity of the foot scans showing a deviation of less than ±1 mm). However, there were no significant differences in the designed foot orthoses within the same weight-bearing condition (83.59 ± 1.97% similarity of the orthotic designs showing a deviation of less than ±1 mm). The medial arch height and heel width differed significantly only when the weight-bearing condition was changed. The findings from this study suggest that the industrial design and production of an orthotic insole using current methods does not depend on the scanning quality of the scanner used but is dependent on the extent of weight bearing.