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Balancing Autonomous Spacecraft Activity Control with an Integrated…

Award Information

National Aeronautics and Space Administration
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Red Canyon Software
CO Denver, CO 80210-2562
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: Yes
Phase 1
Fiscal Year: 2013
Title: Balancing Autonomous Spacecraft Activity Control with an Integrated Scheduler-Planner and Reactive Executive
Agency: NASA
Contract: NNX13CA26P
Award Amount: $122,776.00


Spacecraft operations demand a high level of responsiveness in dynamic environments. During operations, it is possible for unexpected events and anomalies to disrupt the mission schedule, and in the case of critical faults, even threaten the health and safety of the spacecraft. Historically, it has been the responsibility of the mission operations team on the ground to issue command sequences and monitor spacecraft health and status to ensure that long-term science, engineering, and safety goals are achieved. Red Canyon Software is building upon previous designs for on-board, layered autonomous software flight systems employing continuous planning and command sequencing. The proposed innovation increases the robustness of on-board autonomy for space vehicle operation, while at the same time offers reductions in mission development costs by leveraging off of newer flight proven software technologies. Also, developing, verifying, and validating spacecraft activity and constraint models for use with model-based autonomous planners and reactive sequencers are difficult and complex activities. For robust, on-board autonomous systems with multiple layers of software performing varying levels of constraint checking prior to activity planning and command sequencing, more than one layer will need to be configured with the same model constraints. To reduce the cost and risk of model development and use, a single, shared spacecraft domain model representation is proposed, along with development of a graphical editor that allows system engineers to easily encode domain information and that uses verification rules to detect inconsistencies or errors.

Principal Investigator:

Robert Radicevich
Principal Software Engineer

Business Contact:

Kristin Thomas
Business Official
Small Business Information at Submission:

Red Canyon Software
CO Denver, CO 80210-2562

EIN/Tax ID: 841530816
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: Yes