Anurag Bansal

Acciona (Spain)

Papers

1

Total Citations

2

H-Index

1

About

Dr. Anurag Bansal is a pioneering researcher at the intersection of robotics and construction automation, with a primary focus on developing intelligent systems for hazardous and physically demanding built-environment tasks. His work centers on robot learning from demonstration (LfD), teleoperation, and the automation of precision material deposition in unstructured construction sites. In his landmark pilot study, "Robot Learning from Teleoperated Demonstrations: A Pilot Study Towards Automating Mastic Deposition in Construction Sites" (2025, 2 citations), Dr. Bansal tackles the critical challenge of automating expansion joint filling—a task made complex by the temperature-dependent variability of mastic density. By integrating teleoperated demonstrations with learning algorithms, he has laid the groundwork for robots that can adapt to material inconsistencies in real time, significantly reducing worker exposure to repetitive strain and hazardous environments. This foundational work is already shaping new approaches to construction robotics, bridging the gap between controlled lab settings and real-world deployment. Dr. Bansal’s contributions are vital for advancing safe, efficient, and autonomous construction practices, marking him as a key voice in the future of robotic building systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Robot Learning from Teleoperated Demonstrations: A Pilot Study Towards Automating Mastic Deposition in Construction Sites
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Acciona (Spain)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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