Mobiot: Augmenting everyday objects into moving IoT devices using 3D printed attachments generated by demonstration Abul Al Arabi, Jiahao Li, Xiang 'Anthony' Chen, Jeeeun Kim
CHI'22: ACM Conference on Human Factors in Computing Systems Session: Fabrication: 3D Printing
Abstract Recent advancements in personal fabrication made the story of novices automate routine tasks with mobilized everyday objects not too far away from today. However, the overall process remains challenging- from capturing design requirements and motion planning to authoring them to creating 3D models of mechanical parts to programming electronics, as it demands expertise.
We introduce Mobiot, an end-to-end pipeline to help non-experts capture the design and motion requirements of legacy objects by demonstration. It then automatically generates 3D printable attachments, programs to operate assembled modules with a list of off-the-shelf electronics and assembly tutorials. The authoring feature further assists users to fine-tune as well as to reuse existing motion libraries and 3D printed mechanisms to adapt other real-world objects with different motions. We validate Mobiot through application examples with 8 everyday objects with various motions applied, and thorough technical evaluation to measure the accuracy of motion reconstruction.
