SAM #DARPA-SN-26-76

DARPA RFI: Materials and Technologies for Untethered Autonomous Robotics

DARPA's Microsystems Technology Office (MTO) is seeking industry input on materials and technologies for untethered autonomous robotics. - Government buyer: DARPA, located at 675 North Randolph Street, Arlington, VA - Request for Information (RFI) targeting disruptive concepts in materials, components, and kernel-level technologies - Focus on physical intelligence: encoding sensing, actuation, control, learning, adaptation, and decision-making directly into the robot's body - Emphasis on robust autonomy, rapid maneuverability, adaptive reflexes, energy efficiency, speed, and information security - No specific vendors, OEMs, part numbers, or quantities provided - Opportunity for innovative approaches in robotics for unconstrained environments with limited communication or human intervention - No explicit purchase or contract; this is a market research and idea solicitation

Description

The Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office (MTO) seeks information on physical intelligence applied to untethered autonomous robotic technologies with dynamic and low-latency adaptive functionality in unconstrained environments. The DoW typically operates in environments with limited communication or human intervention, where autonomy coupled with rapid maneuverability and adaptive reflexes dictate mission completion. Robotics possessing physical intelligence—the encoding of sensing, actuation, control, learning, adaptation, and decision-making directly into the body—offers a promising path towards advancing the DoW’s mission. Progress in today’s autonomous robotics focuses on two paths, increasing sensor density and increasing data transfer volume, to enhance artificial decision-making. Both paths come at the cost of reduced energy efficiency, speed, and information security, for which current progress occurs orthogonal to the DoW mission. DARPA is interested in disruptive concepts at the material, component, and kernel level that represent significant advances beyond current practice for fielding robust robotics.

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