Studying Circular Motion with an AI-Generated Smartphone Physics Lab

Synthesis: Suñer et al. (2026) show that a fully customized, browser-based rotation laboratory can be generated entirely through natural-language prompting of an AI assistant, with no manual coding. Most smartphone physics experiments rely on precompiled sensor apps whose interfaces cannot be tailored to a specific activity, and customized labs previously required programming knowledge beyond most teachers. Using the AI-generated lab with a simple rotating platform, they characterize uniform circular motion (UCM) and uniformly accelerated circular motion (UACM), validating sensor measurements against independent video analysis with Tracker. The work connects to Physics Education, mobile learning, and Generative AI content creation.

Customizing Smartphone Labs Without Code

Smartphones have become a standard measurement instrument in the physics laboratory, with built-in accelerometers, gyroscopes, magnetometers, and cameras used to investigate mechanics. A recurring limitation is that most experiments rely on precompiled sensor apps whose interfaces cannot be tailored to a specific activity, and until recently creating customized smartphone laboratories required programming knowledge beyond most physics teachers.

AI-Generated, Browser-Based Lab

Following the approach the authors recently introduced for acoustic experiments, this paper shows a fully customized, browser-based rotation laboratory can be generated entirely through natural-language prompting of an AI assistant, with no manual coding.

Validation

The lab is used, together with a simple rotating platform, to characterize both uniform circular motion (UCM) and uniformly accelerated circular motion (UACM). Sensor measurements are validated against independent video analysis with Tracker.

Connected Concepts

Connected Articles

Citation

Suñer, J. Ll., Muñoz-Pérez, F. M., Castro-Palacio, J. C., Monsoriu, J. A., Monteiro, M., Stari, C., & Martí, A. C. (2026). Studying circular motion with an AI-generated smartphone physics lab. arXiv:2607.28352.