| id |
ecaade2016_079 |
| authors |
Cheng, Chi-Li and Hou, June-Hao |
| year |
2016 |
| title |
Biomimetic Robotic Construction Process - An approach for adapting mass irregular-shaped natural materials |
| source |
Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 133-142 |
| doi |
https://doi.org/10.52842/conf.ecaade.2016.1.133
|
| wos |
WOS:000402063700015 |
| summary |
Beaver dams are formed by two main processes. One is that beavers select proper woods for constructing. The other one is that streams aggregate those woods to be assembled. Using this approach to construction structure is suitable for natural environment. In this paper, we attempt to develop a construction process which is suitable for all-terrain construction robot in the future. This construction process is inspired by beavers' construction behavior in nature. Beavers select proper sticks to make the structure stable. We predict that particular properties of sticks contribute gravity-driven assembly of wood structure. Thus, we implement the system with machine learning to find proper properties of sticks to improve selection mechanism of construction process. During this construction process, 3D scanner on robotic arm scans and recognizes sticks on terrain, and then robot will select proper sticks and place them. After placement, the system will scan and record the results for learning mechanism. |
| keywords |
Biomimetic Design; Machine Learning; Natural Material; Point Cloud Analysis; Robotic Fabrication |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (37,747,337 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:55 |
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