See-Sense-Respond: Exploring Modalities Of Augmented Robotic Fabrication For Automation And Beyond
Although robotic arms provide precision and control in the fabrication process, they are limited in sensing the environment and responding to it accordingly. This limitation poses significant challenges as robotic tooling operations can only be carried out on surfaces that are known digitally. To address this limitation, we propose a vision-based sensing framework to digitally reconstruct and register the work environment prior to robotic tooling operations, with the goal of enabling tooling operations to be carried out on indefinite surfaces.
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Work Title See-Sense-Respond: Exploring Modalities Of Augmented Robotic Fabrication For Automation And Beyond Access Creators - Ozguc Capunaman
- Benay Gursoy Toykoc
Keyword - Adaptive robotic fabrication
- Computational frameworks
- Computational design
- Fabrication
- Fiber reinforced composites
License CC BY-NC 4.0 (Attribution-NonCommercial) Work Type Poster Publication Date November 28, 2022 Source - Fall 2022 Stuckeman School Research Open House
Deposited March 28, 2023 Versions
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- https://creativecommons.org/licenses/by-nc/4.0/
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