Phone2Act: A Low-Cost, Hardware-Agnostic Teleoperation System for Scalable VLA Data Collection
Researchers have developed Phone2Act, a novel teleoperation system that utilizes a standard smartphone as a 6-DoF robot controller through Google ARCore. This low-cost, hardware-agnostic framework is designed to simplify and scale the collection of manipulation data for training Vision-Language-Action (VLA) models. By decoupling control logic and supporting various robot platforms, Phone2Act enables researchers to more affordably gather diverse datasets for immediate use in fine-tuning models like GR00T-N1.5. AI
IMPACT This system could significantly lower the cost and increase the scale of data collection for VLA models, potentially accelerating their development and deployment.