The vision of this research project is to transform the field of adaptive structures and materials through pioneering the embodiment of intelligence in the mechanical domain of novel topological metamaterials. More specially, this research seeks to harness condensed-matter-physics-inspired topologically-protected wave networks and the computing power hidden in architected materials to achieve structures possessing the essential elements of intelligence, such as perceiving and learning information from sensory input, memorizing information, and making decision on actions. This effort looks to significantly elevate future machine autonomy with better energy efficiency, more direct mechanical interaction with the surroundings, and much higher resilience against harsh environment and cyberattack. The outcomes intend to address the emerging societal needs for highly effective, efficient, safe and secured autonomous systems, from human-centric robots, automated vehicles, and smart wearables, to self-monitoring infrastructures, widely benefiting many industries. In addition, this project will integrate its research outcomes into new teaching curricula and outreach activities, cultivating students’ interest in STEM pursuits under the inspirational theme of mechanical intelligence. The research goal is to advance the state of the art by pioneering topological wave dynamics and physical computing as the needed foundation to create and integrate the essential elements of intelligence