QUART-Online introduces a breakthrough latency-free multimodal language model designed specifically for quadruped robots, enabling real-time vision-language-action processing.

• Overcomes traditional inference latency challenges that hinder robot performance
• Maintains language model performance integrity, unlike conventional parameter reduction techniques
• Delivers instantaneous processing for complex multimodal robot tasks
• Represents a significant advancement for real-world robotics applications

Engineering Impact: This research bridges a critical gap in robot control systems, enabling quadruped robots to process visual inputs and language commands without delay—essential for practical deployment in dynamic environments.

QUART-Online: Latency-Free Large Multimodal Language Model for Quadruped Robot Learning