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Award details
- Awarding agency
- National Aeronautics and Space Administration
- Branch
- Not reported
- Recipient company
- SECMATION LLC
- Proposal award date
- 2024-08-07
- Contract end date
- 2025-02-06
- UEI
- EQKADCNZX2T3
- Solicitation number
- SBIR-2024-Phase 1
- Topic code
- Z2
Research abstract
A key element of the rapid growth autonomous systems is the availability of open, reusable frameworks and libraries of software such as the Robot Operating System (ROS). AI/ML enhanced computing systems for automated vehicle applications are rapidly advancing but may not meet spaceflight environmental requirements. Combining ROS and RISC-V based processing systems provides a pathway to rapidly evolving autonomous systems for space applications.
Secmation proposes Resilient Real-Time Reasoning RISC-V Robotic Operating System (R5OS). The goal of R5OS (Pronounced “R-Five-OS”) is to evolve ROS into a capable, reliable, deployable tool for space robotics. Key R5OS elements:
• Porting of ROS to RISC-V. R5OS will port ROS infrastructure and a suite of ROS nodes to relevant RISC-V hardware paving the way to High Performance Spacecraft Computing (HPSC) processor transition. A key element of the R5OS transition is a formal testing program to ensure transitioned components maintain the functionality and reliability of the original components.
• Rapid ROS development. Secmation’s AutonomyLock software, developed for the Office of Naval Research for robotic systems development, adds DevSecOps capabilities to the R5OS workflow reducing ROS development time and cost.
• Flexible mixed criticality processing. Many ROS nodes that control driving, manipulation, and similar physical interactions should be executed with real-time constraints. Other nodes, such as path planning, may not lend themselves to real-time operation. R5OS will demonstrate a mixed criticality real-time/non-real-time implementation of ROS leveraging Secmation’s Anneal real-time hypervisor developed for the Missile Defense Agency.
• Alignment with AI/ML open standards. The Open Neural Network Exchange (ONNX) standard provides a path to more easily deployable, maintainable, reusable AI/ML neural network applications. R5OS will demonstrate ONNX integration with ROS including AI/ML hardware acceleration.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
Research funding history
17 SBIR/STTR records share this UEI (2017–2025). Reported award amounts total $14,783,765. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy
Agency intelligence
National Aeronautics and Space Administration
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