RoboTwin introduces a generative digital twin framework that leverages 3D models and LLMs to overcome the limitations of demonstration data scarcity in robotics.

• Creates diverse, high-quality expert datasets for dual-arm robot coordination
• Enables realistic virtual testing before physical deployment
• Provides standardized benchmarks for evaluating robot manipulation capabilities
• Bridges the sim-to-real gap in robotics training

This framework represents a significant advancement for engineering teams developing factory automation solutions, potentially reducing development time and costs while improving robot performance in complex manipulation tasks.

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins