Accelerating Robotics Data Annotation: How to Build an Editor Agent with GPT-4o

Captioning actions is one of the biggest pain points in building high-quality robotics datasets.

How many different ways can we use language to describe the same action? "Putting on a wash," "doing laundry," "throwing items in the washing machine"?

What if you could automatically generate descriptive captions and contextual labels for your robot sensor data, while keeping humans in the loop for validation?

Join us for a 20 minute session to see how GPT-4o Editor Agents can transform your annotation workflow:

• Set up GPT-4o Editor Agents to process robotics images, video frames, & even multi-camera setups.
• Generate accurate, contextual captions automatically, tailored to your robotics environment.
• Integrate human-in-the-loop validation to review, edit, and approve annotations efficiently.
• Export enriched datasets with structured labels and scene descriptions ready for model training.

Whether you’re working on autonomous vehicles, warehouse robotics, or humanoids, learn practical steps to implement editor agents and boost the speed, quality, and consistency of your robotics datasets.