Abul Al Arabi
Texas A&M University, College Station, Texas, United States
Recent advancements in personal fabrication have brought novices closer to a reality, where they can automate routine tasks with mobilized everyday objects. 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-user toolkit 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, 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 to other real-world objects with different motions. We validate Mobiot through application examples with 8 everyday objects with various motions applied, and through technical evaluation to measure the accuracy of motion reconstruction.
https://dl.acm.org/doi/abs/10.1145/3491102.3517645
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)