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dc.contributor.authorCheng, Chi-Lien_US
dc.contributor.authorHou, June-Haoen_US
dc.date.accessioned2018-08-21T05:56:44Z-
dc.date.available2018-08-21T05:56:44Z-
dc.date.issued2016-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146582-
dc.description.abstractBeaver 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.en_US
dc.language.isoen_USen_US
dc.subjectBiomimetic Designen_US
dc.subjectMachine Learningen_US
dc.subjectNatural Materialen_US
dc.subjectPoint Cloud Analysisen_US
dc.subjectRobotic Fabricationen_US
dc.titleBiomimetic Robotic Construction Process An approach for adapting mass irregular-shaped natural materialsen_US
dc.typeProceedings Paperen_US
dc.identifier.journalECAADE 2016: COMPLEXITY & SIMPLICITY, VOL 1en_US
dc.citation.spage133en_US
dc.citation.epage142en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000402063700015en_US
Appears in Collections:Conferences Paper