Data Preparation

This section describes the data preparation workflow for the FluxVLA framework, covering the requirements and preparation methods for both simulation data and real-robot data. Proper standardization of both data categories facilitates subsequent model training and evaluation.

• Simulation Data: Collection and conversion of data from simulated robot environments (e.g., IsaacSim). See Simulation Data Preparation for details.

• Real-Robot Data: Organization and formatting of data collected from physical robot platforms. See Real-Robot Data Preparation for details.

• Simulation Data Preparation
• Real-Robot Data Preparation