Galileo Robotics Unveils "Land Embodied System," Breaking Through Underlying Technical Barriers for Wheeled and Legged Locomotion

The Land Embodied System launched by Galileo Robotics marks a significant exploration in motion forms for embodied AI technology. This system is not merely a single hardware upgrade, but rather a deep integration of wheeled and legged motion capabilities, aiming to build a more universal underlying motion framework for robots.

Traditional robots often have to choose between wheeled and legged locomotion; wheeled systems are efficient but limited by terrain, while legged systems are flexible but consume more energy. Breaking through the underlying technical barriers for wheeled and legged integration means robots can autonomously switch motion modes based on the environment, significantly improving adaptability in complex unstructured scenarios.

Embodied AI is regarded as one of the key pathways for AI implementation, emphasizing the interaction between AI models and physical entities. The release of such systems helps accelerate the migration of large model capabilities to the physical world, enabling robots to possess stronger integrated perception, decision-making, and execution capabilities.

With the development of multimodal large models, requirements for underlying motion control in robots are increasing. This technological breakthrough provides new solutions for service, logistics, and industrial scenarios, potentially driving embodied AI from the laboratory to broader practical applications.

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