Opportunity

Simpler Grants.gov #PD-25-058Y

NSF Solicitation for Fundamental Research on Human-System Interaction (M3X Program)

Buyer

National Science Foundation

Posted

April 16, 2025

Identifier

PD-25-058Y

NAICS

541715

The U.S. National Science Foundation (NSF) is inviting proposals for the Mind, Machine, and Motor Nexus (M3X) program, focused on advancing research in intelligent engineered systems and their interaction with humans. - Government Buyer: - U.S. National Science Foundation (NSF) - OEMs and Vendors: - No specific OEMs or vendors are named, as this is a fundamental research grant opportunity - Products/Services Requested: - Fundamental research services in three main areas: - Conceptual frameworks and theoretical modeling of human-system interaction - Dynamic interaction analysis and simulation in physical, virtual, or hybrid environments - Innovative technologies for enhanced interaction (e.g., robots for disaster response, smart environments, virtual reality rehabilitation) - No specific products, part numbers, or purchase quantities are specified - Unique or Notable Requirements: - Proposals must clearly address at least one of the three targeted research areas - Emphasis on foundational theories, modeling, and technological innovation - Applicants are encouraged to submit a project summary for feedback prior to full proposal submission - Opportunity is open to all eligible applicants without restriction

Description

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, enhancing safety, productivity, and well-being. The program focuses on intelligent engineered systems that interact with their environment to achieve specific goals, operating autonomously or collaboratively with humans. Research areas include conceptual frameworks and theoretical modeling, dynamic interaction analysis and simulation, and innovative technologies for enhanced interaction. Proposals must advance knowledge of bidirectional interactions between humans and intelligent engineered systems, with applications such as disaster response robots, smart environments, and virtual reality rehabilitation technologies.

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