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1D Printing of Recyclable Robots
- Source :
- Cellucci, D, MacCurdy, R, Lipson, H & Risi, S 2017, ' 1D Printing of Recyclable Robots ', IEEE Robotics and Automation Letters, vol. 2, no. 4, pp. 1964-1971 . https://doi.org/10.1109/LRA.2017.2716418
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- Recent advances in three-dimensional (3-D) printing are revolutionizing manufacturing, enabling the fabrication of structures with unprecedented complexity and functionality. Yet biological systems are able to fabricate systems with far greater complexity using a process that involves assembling and folding a linear string. Here, we demonstrate a 1-D printing system that uses an approach inspired by the ribosome to fabricate a variety of specialized robotic automata from a single string of source material. This proof-of-concept system involves both a novel manufacturing platform that configures the source material using folding and a computational optimization tool that allows designs to be produced from the specification of high-level goals. We show that our 1-D printing system is able to produce three distinct robots from the same source material, each of which is capable of accomplishing a specialized locomotion task. Moreover, we demonstrate the ability of the printer to use recycled material to produce new designs, enabling an autonomous manufacturing ecosystem capable of repurposing previous iterations to accomplish new tasks.
- Subjects :
- 0209 industrial biotechnology
Control and Optimization
Fabrication
Process (engineering)
Computer science
Mechanical Engineering
Distributed computing
String (computer science)
Biomedical Engineering
02 engineering and technology
Folding (DSP implementation)
Computer Science Applications
Variety (cybernetics)
Human-Computer Interaction
Task (computing)
020901 industrial engineering & automation
Artificial Intelligence
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
Robot
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Subjects
Details
- ISSN :
- 23773774
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- IEEE Robotics and Automation Letters
- Accession number :
- edsair.doi.dedup.....7c68b3304306da2c619557edf8a86678
- Full Text :
- https://doi.org/10.1109/lra.2017.2716418