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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.19597 |
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| _version_ | 1866909659018821632 |
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| author | Uchiito, Haruki Bhat, Akhilesh Kusaka, Koji Zhang, Xiaoya Kinjo, Hiraku Uehara, Honoka Koyama, Motoki Natsume, Shinji |
| author_facet | Uchiito, Haruki Bhat, Akhilesh Kusaka, Koji Zhang, Xiaoya Kinjo, Hiraku Uehara, Honoka Koyama, Motoki Natsume, Shinji |
| contents | As labor shortages and productivity stagnation increasingly challenge the construction industry, automation has become essential for sustainable infrastructure development. This paper presents an autonomous payload transportation system as an initial step toward fully unmanned construction sites. Our system, based on the CD110R-3 crawler carrier, integrates autonomous navigation, fleet management, and GNSS-based localization to facilitate material transport in construction site environments. While the current system does not yet incorporate dynamic environment adaptation algorithms, we have begun fundamental investigations into external-sensor based perception and mapping system. Preliminary results highlight the potential challenges, including navigation in evolving terrain, environmental perception under construction-specific conditions, and sensor placement optimization for improving autonomy and efficiency. Looking forward, we envision a construction ecosystem where collaborative autonomous agents dynamically adapt to site conditions, optimizing workflow and reducing human intervention. This paper provides foundational insights into the future of robotics-driven construction automation and identifies critical areas for further technological development. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_19597 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Robotics Under Construction: Challenges on Job Sites Uchiito, Haruki Bhat, Akhilesh Kusaka, Koji Zhang, Xiaoya Kinjo, Hiraku Uehara, Honoka Koyama, Motoki Natsume, Shinji Robotics Artificial Intelligence Hardware Architecture Emerging Technologies Systems and Control As labor shortages and productivity stagnation increasingly challenge the construction industry, automation has become essential for sustainable infrastructure development. This paper presents an autonomous payload transportation system as an initial step toward fully unmanned construction sites. Our system, based on the CD110R-3 crawler carrier, integrates autonomous navigation, fleet management, and GNSS-based localization to facilitate material transport in construction site environments. While the current system does not yet incorporate dynamic environment adaptation algorithms, we have begun fundamental investigations into external-sensor based perception and mapping system. Preliminary results highlight the potential challenges, including navigation in evolving terrain, environmental perception under construction-specific conditions, and sensor placement optimization for improving autonomy and efficiency. Looking forward, we envision a construction ecosystem where collaborative autonomous agents dynamically adapt to site conditions, optimizing workflow and reducing human intervention. This paper provides foundational insights into the future of robotics-driven construction automation and identifies critical areas for further technological development. |
| title | Robotics Under Construction: Challenges on Job Sites |
| topic | Robotics Artificial Intelligence Hardware Architecture Emerging Technologies Systems and Control |
| url | https://arxiv.org/abs/2506.19597 |