Funding

Mind, Machine and Motor Nexus

U.S. National Science Foundation · United States

Posted
July 27, 2026
The Mind, Machine, and Motor Nexus (M3X) program supports fundamental research that enables intelligent engineered systems and humans to engage in bidirectional interaction in a physics-based environment, to enhance and ensure safety, productivity, and well-being. For the purpose of this program an intelligent engineered system is a human-designed system — physical, virtual, or a combination of both — that interacts with its environment to achieve specific goals. These systems collect data, analyze it to make informed decisions, and take actions that enhance safety, efficiency, and well-being. They may operate autonomously or collaboratively with humans, adapting their actions based on the data they collect. A key requirement for the M3X program is that these systems must function within a physics-based environment, whether physical or virtual, where interactions exhibit recognizable physical behaviors, such as those associated with gravity, friction, force, and inertia. Intelligent engineered systems are becoming increasingly integrated into our daily lives, interacting with humans across diverse environments and through different modalities (for example, visual, haptic, auditory). M3X aims to deepen the understanding of such interactions, particularly in complex and dynamic settings such as elder care, disaster response, and dynamic workplaces. The program encourages explorations into the physical or cognitive principles that enable or constrain human-machine collaboration, advancing foundational theories, interaction modeling, and technological innovations that enhance adaptability, efficiency, and intuitiveness. Proposals submitted to the M3X program must clearly articulate how the proposed work advances knowledge of bidirectional interactions between humans and intelligent engineered systems. Examples include robots assisting in disaster response, smart environments that learn user preferences, and virtual reality-based rehabilitation technologies that simul

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