Multi-agent robotic systems and exploration algorithms: Applications for data collection in construction sites
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866929299806748672 |
|---|---|
| author | Prieto, Samuel A. Giakoumidis, Nikolaos de Soto, Borja Garcia |
| author_facet | Prieto, Samuel A. Giakoumidis, Nikolaos de Soto, Borja Garcia |
| contents | The construction industry has been notoriously slow to adopt new technology and embrace automation. This has resulted in lower efficiency and productivity compared to other industries where automation has been widely adopted. However, recent advancements in robotics and artificial intelligence offer a potential solution to this problem. In this study, a methodology is proposed to integrate multi-robotic systems in construction projects with the aim of increasing efficiency and productivity. The proposed approach involves the use of multiple robot and human agents working collaboratively to complete a construction task. The methodology was tested through a case study that involved 3D digitization of a small, occluded space using two robots and one human agent. The results show that integrating multi-agent robotic systems in construction can effectively overcome challenges and complete tasks efficiently. The implications of this study suggest that multi-agent robotic systems could revolutionize the industry. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_01078 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Multi-agent robotic systems and exploration algorithms: Applications for data collection in construction sites Prieto, Samuel A. Giakoumidis, Nikolaos de Soto, Borja Garcia Robotics Multiagent Systems The construction industry has been notoriously slow to adopt new technology and embrace automation. This has resulted in lower efficiency and productivity compared to other industries where automation has been widely adopted. However, recent advancements in robotics and artificial intelligence offer a potential solution to this problem. In this study, a methodology is proposed to integrate multi-robotic systems in construction projects with the aim of increasing efficiency and productivity. The proposed approach involves the use of multiple robot and human agents working collaboratively to complete a construction task. The methodology was tested through a case study that involved 3D digitization of a small, occluded space using two robots and one human agent. The results show that integrating multi-agent robotic systems in construction can effectively overcome challenges and complete tasks efficiently. The implications of this study suggest that multi-agent robotic systems could revolutionize the industry. |
| title | Multi-agent robotic systems and exploration algorithms: Applications for data collection in construction sites |
| topic | Robotics Multiagent Systems |
| url | https://arxiv.org/abs/2311.01078 |