Ropedia raises $22M to scale data collection for training robots

A company building data infrastructure for robot training has raised funding to expand its wearable head-mounted device that captures human movement, object interaction, and spatial context from a first-person perspective. The device records video, audio, and motion data that gets processed and used to train robots to perform tasks by learning from human behavior. The company plans to use the funding to expand its hardware and software teams, grow its business in North America, and scale up data collection from its current rate of approximately 1,000 hours per week. This matters because the robotics industry needs large-scale, high-quality datasets to train robots effectively, and the company claims its approach reduces data collection costs significantly compared to traditional methods.