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  • Jodie Alexander

NSF: Mind, Machine and Motor Nexus – Ongoing Applications

Opportunity Title:

Mind, Machine and Motor Nexus



Opportunity Number:



The Mind, Machine and Motor Nexus (M3X) Program supports fundamental research that explores embodied reasoning as mediated by bidirectional sensorimotor interaction between human and synthetic actors. For the purposes of this program, embodiment is defined as the capacity to interact with physics-based environments. Interaction between human and synthetic actors is expanding in scale and scope across numerous fields and endeavors. Among these are areas where safety and performance are paramount, but also where ingenuity and risk-taking are essential to success.

The M3X Program seeks to spur innovative and path-breaking work that can improve understanding of interaction between human and synthetic actors in a broad range of settings, while also exploring implications for the advancement of fundamental theory, foundational technologies, and meaningful applications. Successful submissions to the M3X program will therefore advance knowledge by exploring the convergence of human and synthetic actors’ capabilities and actions during the performance of tasks situated within physics-based environments. The following key concepts define the M3X program and therefore must be captured in any competitive proposal submitted to the program:

  • Human and Synthetic Actors, which refer respectively to human beings and to embodied constructs with the additional capacity for engaging in sensorimotor interactions (defined below) as enabled by a potentially wide range of capabilities such as sensing, reasoning, communicating, interacting, and learning. Competitive proposals to the M3X program must consider the interaction between at least one human actor and at least one synthetic actor.

  • Sensorimotor interaction, which refers to the exchange of information between at least one human actor and at least one synthetic actor through any sensorimotor channel (e.g., haptic, visual, etc.) available to human or synthetic actors in real, virtual or hybrid environments. This interaction must be bidirectional between human and synthetic actors.

  • Embodied reasoning, which refers to the capability of human and synthetic actors to engage in cognitive activities that produce knowledge or expectations about each other (e.g., via intent detection, trust-building, social engagement, etc.). Such capability must be enabled or evolved through sensorimotor interaction, in a physics-based environment. Other aspects of embodied reasoning—such as understanding of task requirements or of the environment within which co-activities are embedded—may also be present.

  • Physics-based environment, which refers to a real and/or simulated environment where laws of physics are defined and applied to objects and to interactions within that environment.





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