Statistical examination of robotics implementation in India’s construction industry

The Indian Construction Sector (CS) plays a crucial role in the nation’s economy, but continues to grapple with challenges such as low productivity, labor inefficiencies, and safety concerns. Robotics and automation offer transformative solutions to address these issues. This study statistically explores the current status, awareness, willingness, and perceived performance of robotics in the construction sector, focusing on Andhra Pradesh, India. A survey-based approach was adopted, collecting data under a snowball sampling technique from 196 construction workers, contractors, and consultants through a structured questionnaire. Linear Regression Analysis (LRA) explores the hypothesis testing, analysing the relationships between robotics adoption and factors such as awareness, willingness, and project delivery outcomes. Results indicate moderate awareness of robotics technologies; however, the willingness to adopt remains low due to barriers like high costs, lack of skilled operators, and resistance to change. Despite this, respondents acknowledged the positive effects of robotics on improving project quality, efficiency, and safety. While mixed perceptions were observed regarding expected performance, 94.7% of respondents emphasised the need to promote robotics adoption through government support, training programs, and awareness campaigns. The study concludes that addressing barriers related to cost, skill gaps, and cultural resistance is essential for enabling the widespread adoption of robotics, thereby enhancing productivity, safety, and sustainability in the Indian construction sector.

Authors

Institutions

Publication Details

Journal
Discover Civil Engineering
Published
2025-10-07
DOI
https://doi.org/10.1007/s44290-025-00334-5
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Statistical examination of robotics implementation in India’s construction industry

Shaik Chandini, Srinivasa Rao Allu, Amiya Bhumik
1 citations
Discover Civil Engineering
BIM and Construction Integration
1.01
article

Statistical examination of robotics implementation in India’s construction industry

Shaik Chandini, Srinivasa Rao Allu, Amiya Bhumik
article en
1 citations

Abstract

The Indian Construction Sector (CS) plays a crucial role in the nation’s economy, but continues to grapple with challenges such as low productivity, labor inefficiencies, and safety concerns. Robotics and automation offer transformative solutions to address these issues. This study statistically explores the current status, awareness, willingness, and perceived performance of robotics in the construction sector, focusing on Andhra Pradesh, India. A survey-based approach was adopted, collecting data under a snowball sampling technique from 196 construction workers, contractors, and consultants through a structured questionnaire. Linear Regression Analysis (LRA) explores the hypothesis testing, analysing the relationships between robotics adoption and factors such as awareness, willingness, and project delivery outcomes. Results indicate moderate awareness of robotics technologies; however, the willingness to adopt remains low due to barriers like high costs, lack of skilled operators, and resistance to change. Despite this, respondents acknowledged the positive effects of robotics on improving project quality, efficiency, and safety. While mixed perceptions were observed regarding expected performance, 94.7% of respondents emphasised the need to promote robotics adoption through government support, training programs, and awareness campaigns. The study concludes that addressing barriers related to cost, skill gaps, and cultural resistance is essential for enabling the widespread adoption of robotics, thereby enhancing productivity, safety, and sustainability in the Indian construction sector.

Discover Civil EngineeringVol. 2(1)
American Institute for Economic Research (US), Lincoln University College (MY)
Openalex Percentile: Top 20%
BIM and Construction Integration
1.01
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.