Challenges in Integrating Robotics Technologies in Enterprise

Despite having a significant economic influence, the construction sector struggles with inefficiencies and low productivity. Although automated and autonomous systems have the capacity to tackle these issues, their use in the construction industry is still comparatively restricted. The widespread use of these advancements in the construction sector is hampered by industry-specific constraints, which are examined in this article. This study uses a mixed research design that includes an online survey, three focus groups with twenty-eight experts each, and qualitative and quantitative collection and analysis of data along with a comprehensive assessment of the literature. The found variables were classified, exposing hidden linkages, using main element and correlation analysis. Four main issue categories emerged from the subsequent investigation: deficiencies in the business case, contractor-side financial considerations, on the client-side economic reasons, and technical and work-culture concerns. After ranking these categories according to relevance, little correlation was found between the characteristics. This study adds to a deeper understanding of the sector-specific difficulties preventing the use of autonomous systems and robotics in the construction industry. The purpose of the insights offered is to help stakeholders create mitigation measures that work.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10993605
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges in Integrating Robotics Technologies in Enterprise

Vinay Kandpal, Kushagra Kulshreshtha, Simranjit Kaur, Babita Bisht et al.
1 links
Collaboration in agile enterprises
article

Challenges in Integrating Robotics Technologies in Enterprise

Vinay Kandpal, Kushagra Kulshreshtha, Simranjit Kaur, Babita Bisht, Mohammed Al-Farouni, I. Kabulov
article en

Abstract

Despite having a significant economic influence, the construction sector struggles with inefficiencies and low productivity. Although automated and autonomous systems have the capacity to tackle these issues, their use in the construction industry is still comparatively restricted. The widespread use of these advancements in the construction sector is hampered by industry-specific constraints, which are examined in this article. This study uses a mixed research design that includes an online survey, three focus groups with twenty-eight experts each, and qualitative and quantitative collection and analysis of data along with a comprehensive assessment of the literature. The found variables were classified, exposing hidden linkages, using main element and correlation analysis. Four main issue categories emerged from the subsequent investigation: deficiencies in the business case, contractor-side financial considerations, on the client-side economic reasons, and technical and work-culture concerns. After ranking these categories according to relevance, little correlation was found between the characteristics. This study adds to a deeper understanding of the sector-specific difficulties preventing the use of autonomous systems and robotics in the construction industry. The purpose of the insights offered is to help stakeholders create mitigation measures that work.

Iraqi University (IQ), Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), Graphic Era University (IN), GLA University (IN), Punjab Engineering College (IN)
Openalex Percentile: Top 53%
Collaboration in agile enterprises
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.