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DARPA's TIAMAT (Transfer from Imprecise and Abstract Models to Autonomous Technologies) program develops sim-to-real transfer techniques that train autonomous systems in low-fidelity, abstract simulations and reliably deploy them in unpredictable physical environments. Research targets foundations for rapid sim-to-real generalization, robustness to physics-model error, and transfer learning across morphology and sensor configurations.
The program is structured as two 18-month phases and supports applications including ground autonomy, aerial autonomy, and robotic manipulation in adversarial, novel, or contested settings. Awards have included University of Central Florida ($1. 2M) and other academic and industry performers.
TIAMAT is a core DARPA investment in foundational autonomy R&D.
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Or search similar grants →According to the current listing, eligibility includes: Open to U.S. and certain non-U.S. universities, FFRDCs, industry, small businesses, and non-profit research organizations. Performers are selected through proposal solicitations under DARPA I2O office-wide BAAs or program-specific announcements. Confirm the full requirements in the official notice before applying.
The current listing shows multi-million dollar awards. Performer awards have ranged from approximately USD 1,200,000 (e.g., UCF) to USD 5,000,000 across two 18-month phases. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for DARPA TIAMAT Transfer from Imprecise and Abstract Models to Autonomous Technologies for Sim-to-Real AI in Unpredictable Environments are due December 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
DARPA TIAMAT Transfer from Imprecise and Abstract Models to Autonomous Technologies for Sim-to-Real AI in Unpredictable Environments is funded by Defense Advanced Research Projects Agency (DARPA) Information Innovation Office (I2O). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
FY2026 Office-Wide Broad Agency Announcement (BAA) is a grant from Defense Advanced Research Projects Agency (DARPA) Information Innovation Office (I2O) that supports research and work in its focus areas. Records Retention Policy Impacts Old SAM Registration Data # Information Innovation Office (I2O) Office-Wide DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA) #### Looking for contract opportunity help?. APEX Accelerators are an official government contracting resource for small businesses. Find your local APEX Accelerator (opens in new window) for free government expertise related to contract opportunities. Eligible applicants include Open to all proposers who can meet the agency's needs, including universities, industry, and consortia. Awards total Varies by project scope. The application deadline is 2026-11-30T00:00:00+00:00.
I2O Office-Wide BAA for Transformative AI and Cybersecurity Research is sponsored by Defense Advanced Research Projects Agency (DARPA) Information Innovation Office (I2O). DARPA I2O is soliciting innovative research proposals in information science and technology, including cybersecurity, to address national security challenges. The program aims for revolutionary advances rather than incremental improvements.
DARPA's REMA (Rapid Experimental Missionized Autonomy) program enhances commercially available and stock military drones by adding an autonomy subsystem that increases the drone's capability and renders ineffective adversaries' electromagnetic countermeasures that disrupt operator-drone communication. The single-phase program develops a drone-autonomy adapter interface and mission-specific autonomy software, utilizing accelerating development spirals for tactical deployment. Focus areas include onboard AI inference for navigation, target recognition, and mission continuation in GPS-denied and jammed environments; foundation models for tactical autonomy; and modular autonomy stacks compatible with diverse commercial drone platforms. Managed by DARPA TTO under PM Phillip Smith.
The ARM Institute's 26-01 Core-Funded Technology Project Call makes approximately $2 million available to fund multiple robotics and AI projects that advance U.S. manufacturing, with individual requests to the ARM Institute capped at $500,000. Topic areas are multi-modal inputs for AI robotics in manufacturing, rapid re-tasking and robot agility, multi-robot and multi-human collaboration with supervised autonomy, adaptive real-time path planning and control, and mobile robotics. The call is oriented toward Department of Defense manufacturing needs including castings, forgings, submarines, unmanned aerial systems, and munitions production. Concept papers are due February 4 in the ARM Member Community, with a public informational webinar January 8 and a target project start date of October 1, 2026. Project cost share is weighted in evaluation.
DARPA's TIAMAT (Transfer from Imprecise and Abstract Models to Autonomous Technologies) program tackles the sim-to-real transfer problem in robotics and autonomous systems by training autonomous systems in low-fidelity simulations and then transferring that learned behavior into the real world. The program addresses one of the central barriers to deploying autonomous ground vehicles and other robotic systems at military scale: the cost and brittleness of training in high-fidelity simulation or live environments. TIAMAT is structured around two 18-month phases that move from foundational sim-to-real algorithm research to integrated demonstrations on physical platforms. The program supports a small number of high-performing teams of universities, defense contractors, and small businesses developing the next generation of robust autonomy for ground, aerial, and maritime applications.
DARPA's DICE program (HR001126S0010) wants the theory and algorithms for a self-organizing collective of AI agents that stays on mission in contested environments with no central controller. It is a 36-month, simulation-only, three-technical-area BAA due August 25, 2026 — and it rewards a rare blend of distributed-systems theory and frontier-model inference control that almost no single lab has under one roof. Here is what DICE is really asking for, who is positioned to win, and how to build a team that can.
Read articleHR001126S0001 accepts abstracts on a rolling basis until November 1, 2026 and invited full proposals until November 30. The BAA was paused in May during an office realignment and restarted in August, compressing a 12-month window into roughly three months of live submission time.
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