skip to main content


Title: Work in Progress: Towards an Immersive Robotics Training for the Future of Architecture, Engineering, and Construction Workforce
Advancements in Artificial Intelligence (AI), Information Technology, Augmented Reality (AR) and Virtual Reality (VR), and Robotic Automation is transforming jobs in the Architecture, Engineering and Construction (AEC) industries. However, it is also expected that these technologies will lead to job displacement, alter skill profiles for existing jobs, and change how people work. Therefore, preparing the workforce for an economy defined by these technologies is imperative. This ongoing research focuses on developing an immersive learning training curriculum to prepare the future workforce of the building industry. In this paper we are demonstrating a prototype of a mobile AR application to deliver lessons for training in robotic automation for construction industry workers. The application allows a user to interact with a virtual robot manipulator to learn its basic operations. The goal is to evaluate the effectiveness of the AR application by gauging participants' performance using pre and post surveys.  more » « less
Award ID(s):
1937019
NSF-PAR ID:
10274575
Author(s) / Creator(s):
; ; ; ; ; ;
Date Published:
Journal Name:
World Conference on Engineering Education
Page Range / eLocation ID:
1 to 4
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Recently, the use of extended reality (XR) systems has been on the rise, to tackle various domains such as training, education, safety, etc. With the recent advances in augmented reality (AR), virtual reality (VR) and mixed reality (MR) technologies and ease of availability of high-end, commercially available hardware, the manufacturing industry has seen a rise in the use of advanced XR technologies to train its workforce. While several research publications exist on applications of XR in manufacturing training, a comprehensive review of recent works and applications is lacking to present a clear progress in using such advance technologies. To this end, we present a review of the current state-of-the-art of use of XR technologies in training personnel in the field of manufacturing. First, we put forth the need of XR in manufacturing. We then present several key application domains where XR is being currently applied, notably in maintenance training and in performing assembly task. We also reviewed the applications of XR in other vocational domains and how they can be leveraged in the manufacturing industry. We finally present some current barriers to XR adoption in manufacturing training and highlight the current limitations that should be considered when looking to develop and apply practical applications of XR.

     
    more » « less
  2. Dawood, Nashwan ; Rahimian, Farzad P. ; Seyedzadeh, Saleh ; Sheikhkhoshkar, Moslem (Ed.)
    The growth in the adoption of sensing technologies in the construction industry has triggered the need for graduating construction engineering students equipped with the necessary skills for deploying the technologies. One obstacle to equipping students with these skills is the limited opportunities for hands-on learning experiences on construction sites. Inspired by opportunities offered by mixed reality, this paper presents the development of a holographic learning environment that can afford learners an experiential opportunity to acquire competencies for implementing sensing systems on construction projects. The interactive holographic learning environment is built upon the notions of competence-based and constructivist learning. The learning contents of the holographic learning environment are driven by characteristics of technical competencies identified from the results of an online survey, and content analysis of industry case studies. This paper presents a competency characteristics model depicting the key sensing technologies, applications and resources needed to facilitate the design of the holographic learning environment. A demonstrative scenario of the application of a virtual laser scanner for measuring volume of stockpiles is utilized to showcase the potential of the learning environment. A taxonomic model of the operational characteristics of the virtual laser scanner represented within the holographic learning environment is also presented. This paper contributes to the body of knowledge by advancing immersive experiential learning discourses previously confined by technology. It opens a new avenue for both researchers and practitioners to further investigate the opportunities offered by mixed reality for future workforce development. 
    more » « less
  3. Underwater robots, including Remote Operating Vehicles (ROV) and Autonomous Underwater Vehicles (AUV), are currently used to support underwater missions that are either impossible or too risky to be performed by manned systems. In recent years the academia and robotic industry have paved paths for tackling technical challenges for ROV/AUV operations. The level of intelligence of ROV/AUV has increased dramatically because of the recent advances in low-power-consumption embedded computing devices and machine intelligence (e.g., AI). Nonetheless, operating precisely underwater is still extremely challenging to minimize human intervention due to the inherent challenges and uncertainties associated with the underwater environments. Proximity operations, especially those requiring precise manipulation, are still carried out by ROV systems that are fully controlled by a human pilot. A workplace-ready and worker-friendly ROV interface that properly simplifies operator control and increases remote operation confidence is the central challenge for the wide adaptation of ROVs.

    This paper examines the recent advances of virtual telepresence technologies as a solution for lowering the barriers to the human-in-the-loop ROV teleoperation. Virtual telepresence refers to Virtual Reality (VR) related technologies that help a user to feel that they were in a hazardous situation without being present at the actual location. We present a pilot system of using a VR-based sensory simulator to convert ROV sensor data into human-perceivable sensations (e.g., haptics). Building on a cloud server for real-time rendering in VR, a less trained operator could possibly operate a remote ROV thousand miles away without losing the minimum situational awareness. The system is expected to enable an intensive human engagement on ROV teleoperation, augmenting abilities for maneuvering and navigating ROV in unknown and less explored subsea regions and works. This paper also discusses the opportunities and challenges of this technology for ad hoc training, workforce preparation, and safety in the future maritime industry. We expect that lessons learned from our work can help democratize human presence in future subsea engineering works, by accommodating human needs and limitations to lower the entrance barrier.

     
    more » « less
  4. This research work-in-progress paper investigated the application of emerging mixed reality (MR) technology in construction and engineering education. The construction industry is facing a severe shortage of skilled workforce. As the baby boomers are retiring, the younger generation, especially college students, are often criticized for their lack of professional experience and career-specific competency. To close the skills gap and accelerate the transition of college students to competent workforce, this paper proposed a new genre of learning and professional training using MR. The main promise of the MR technology resides in its ability to augment virtual contents on top of the physical reality to facilitate tacit knowledge learning, and simulate learning activities that traditionally can only be obtained from actual professional experience. An undergraduate wood framing lab was designed as a case study to explore how students might perform in this new learning and training environment. Specifically, the case study investigated if MR would facilitate student design comprehension and transfer such understanding into the knowledge and skills needed to build the wood structure. A randomly selected student control group was given traditional paper-based construction drawings to perform the same tasks with other student groups with various visualization technology assistance. Project performance and behavior of student groups were compared to determine if there was a significant difference between the control group and the experiment groups. A pair of pre- and post-survey on MR-intervened learning experience was also conducted to explore student perceptions towards this new genre of learning and training. The research design proposed in this work-in-progress study and its preliminary results could be a good reference and foundation to future research in this arena. 
    more » « less
  5. Issa, R. (Ed.)
    The construction industry has traditionally been a labor-intensive industry. Typically, labor cost takes a significant portion of the total project cost. In spite of the good pay, there was a big gap recently between demand and supply in construction trades position. A survey shows that more than 80% of construction companies in the Midwest of US are facing workforce shortage and suffering in finding enough skilled trades people to hire. This workforce shortage is also nationwide or even worldwide in many places. Construction automation provides a potential solution to mitigate this problem by seeking to replace some of the demanding, repetitive, and/or dangerous construction operations with robotic automation. Currently, robots have been used in bricklaying or heavy-lifting operations in the industry, and other uses remain to be explored. In this paper, the authors proposed a feasibility breakdown structure (FBS)-based robotic system method that can be used to test the feasibility of performing target construction operations with specific robotic systems, including a top-down work breakdown structure and a bottom-up set of feasibility analysis components based on literature search and/or simulation. The proposed method was demonstrated in testing the use of a KUKA robot and a Fetch robot to perform rebar mesh construction. Results showed that the overall workflow is feasible, whereas certain limitations presented in path planning. In addition, a smooth and timely information flow from the Fetch robot sensor and computer vision-based control to the two robots for a coordinated path planning and cooperation is critical for such constructability. 
    more » « less