| id |
ecaade2024_77 |
| authors |
Zhang, Pengfei; Sevim, Selin; Leder, Samuel; Maierhofer, Mathias; Schwinn, Tobias; Menges, Achim |
| year |
2024 |
| title |
Multi-Robotic Maypole Braiding |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.1.137
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 137–146 |
| summary |
Although braided structures are considered highly versatile, resilient, and scalable, there is a lack of suitable tools for designing them in architecture. This research explores a bottom-up behavioral strategy to investigate the design and simultaneous fabrication of braided structures using a multi-robot system. To achieve this a cyber-physical workflow, inspired by the traditional maypole dance where a group of dancers maneuvers ribbons into a braided spatial network, was developed using agent-based modeling and simulation (ABMS). Similar to the maypole dancers’ choreography, each agent in the model, which represents a mobile robot in the real world, takes the positions of neighboring agents as input to decide how to act. These simple actions or behaviors allow complex braided geometries to emerge over time. To verify the model in the real world, the proposed approach was tested on a swarm of autonomous two-wheel mobile robots called RADr. A braided structure with a size surpassing each individual robot was built as a demonstrator. This research provides a case study for the automation of braided structures using behavioral strategies, allowing for the design of the braids to emerge as they are built. |
| keywords |
Robotic fabrication, Behavioral fabrication, Agent-based modeling, Collective robotic construction (CRC), Braided structure |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (626,241 bytes) |
| references |
Content-type: text/plain
|
| last changed |
2024/11/17 22:05 |
|
