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Statistical examination of robotics implementation in India’s construction industry

Srinivasa Rao Allu, Amiya Bhumik, Shaik Chandini

Year
2025
Citations
1
Access
Open access

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.

Keywords

RoboticsTransformative learningSnowball samplingAutomationGovernment (linguistics)RobotResistance (ecology)

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