Wearable Robotics: Integrating Robotics and Biomedical Technologies

Physical AI focuses on artificial intelligence systems that directly interact with the real world through robot systems. Unlike information-based AI, physical interaction in real environments cannot be described as a simple input–output relationship, as it inherently involves forces, contact, stability, and system dynamics. As a result, purely data-driven or learning-centric approaches face fundamental limitations when applied to real-world Physical AI systems.

We believe that these limitations do not stem from a lack of computational power or learning algorithms, but rather from an insufficient structural understanding of physical interaction and human motion. Human movement is generated through a hierarchical process that begins with intention and decision-making and is realized through the body’s physical structure and reflexive control, allowing stable behavior even in complex and uncertain environments.

Understanding Humans, Creating Real Technology reflects our vision of adopting this human-centered perspective as a foundational principle for developing practical and reliable Physical AI.