Mission Control Space Services Inc.: federal grants and contributions: 29 agreements; $15.4M value; 4 departments; 9 programs.
Assay record ASY-CA-0QPE1MC1WV · Cite as: Assay Systems, “Mission Control Space Services Inc.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/mission-control-space-services-inc/
This low-cost and high-value demonstration of Mission Control’s Spacefarer software platform and a Virtual Reality Camera System will comprise Canada’s first ever commercial rover mission. In partnership with a US-based lunar transportation company, Mission Control will deploy a rover on the south pole of the Moon in 2024. The demonstration will investigate user experience in deep space robotic operations, and specifically how intuitive user displays, semi-autonomous driving modes enabled by artificial intelligence, and immersive reality lower the cognitive load, operator fatigue, and operator
The objective of this project is to demonstrate software technology and provide ground software and mission operations support in navigation and science for a lunar rover mission. This project will realize key elements of Mission Control's product roadmap by demonstrating a set of critically enabling technologies and capabilities in mission operations, onboard autonomy, and artificial intelligence. The project will be the first of its kind to use new computing architectures to enable advanced algorithms to automate resource-constrained rovers. It will advance the state-of-the-art in lunar ro
Mission Control proposes to demonstrate a Machine Learning Operations (MLOps) pipeline and corresponding software technology stack for deployment, characterization and improvement of Artificial Intelligence (AI) models in an operational environment for Edge devices in Space. While AI has rapidly gained ground in terrestrial applications, the use of on-board AI for Space applications is nascent. Performance and operational considerations required for using AI models in these environments are not fully understood. By establishing a Canadian AI Lab in Space and performing an extended-baseline dem
In the emerging commercial space exploration sector, space companies will deliver government and private payloads to the Lunar surface in each mission. A single spacecraft will carry several payloads, each with different and potentially conflicting priorities and operations requirements. Many will generate a large amount of data that could be left behind on the Moon due to constrained data transfer rates. The project aims at developing a modular multi-payload communications and data management system that can be easily installed on spacecraft. This system will provide end-to-end data securit
Mission Control proposes to develop an AutoNav system to enable continuous autonomous rover driving at a speed of 1km/h. AutoNav is composed of a flight and ground segment: a rover sensor and compute module hosting Xiphos’ and Mission Control’s suite of navigation algorithms, and mission operations software leveraging Mission Control’s Spacefarer TM product. AutoNav will be developed and tested to TRL 6 on rover prototypes in representative lunar lighting and terrain at Mission Control’s indoor high-fidelity Moonyard facility.
Generative AI has the potential to automate a variety of space mission operations tasks across satellite, robotic and human spaceflight missions, reducing the reliance on large teams of operators and analysts, lowering cognitive burden across operators and ultimately disrupting the current paradigm of space mission operations. In this project, Mission Control will build upon its leadership in AI for space by developing the Human-in-the-loop AI assistant for Live operations (HAL): a generative AI assistant designed to respond to analysis, search and summarization task requests common across sat
The global space economy is growing rapidly, fueled largely by the proliferation of satellites in Earth orbit. Rather than continually launching new satellites, it is now technologically possible to perform satellite servicing, increasing satellite lifetimes, particularly for high-value satellites further away from Earth. Mission Control proposes to develop key autonomy algorithms and a mission operations software system that will advance the state-of-the-art in onboard autonomy for Rendezvous, Proximity Operations and Docking, to be made commercially available for future satellite servicing o
Mission Control proposes a new AI-integrated image processing system that will help spacecraft perform tasks autonomously and safely in these complex environments. The advancement of computer vision and autonomy algorithms for use with wide-angle field of view cameras will advance Canada’s leadership in space robotics, autonomous spacecraft, and safety in robotics operations, opening new capabilities for spacecraft to support our livelihood and economy on and off Earth.
This project aims to advance several key research objectives in the area onboard spacecraft operations.
This project aims to address the problem of developing and validating a software platform for the deployment, characterization, and improvement of Artificial Intelligence models in a production/operational context for edge devices in harsh and remote environments, which can be relied upon for mission critical applications.
Mission Control aims to develop a commercial prototype of an extended Mission Control Software which enables edge deployment of AI applications on low powered processors for demonstrating to prospective customers for feedback and acquiring sales.
CIIP India project MCI with Axiom Research Labs (ARL) (India): Mission Control is developing AI-enabled mission software to be deployed on Axiom Research Labs’s commercial lunar rover, lowering the barrier for flight software development and allowing more autonomous space operations.
Rovers are expected to play an important role in commercial exploration of the Moon. However, current rover technology is expensive and requires continuous management by operators back on Earth. Using rovers will be more cost-effective if they are able to perform more tasks on their own with more flexible options for the operators that manage them. This project will develop easy-to-use mission control software to support ongoing, low-cost rover operations and allow rovers to navigate and carry out tasks more independently. The software will be cloud-based to allow commercial space companies,
This project entitled "" Skid Steer Optimization (SSO) "" will address gaps in two emerging markets related to planetary exploration: electric vehicles and autonomous vehicles. As a result, new Canadian industrial capabilities focusing on increasing efficiency in the use of skid steer autonomous and electric vehicles will be created. The advancement of this technology is well aligned with future space mission needs, and can present a cost-effective opportunity for Canadian participation on an international mission. Terrestrial applications of this technology, such as agriculture, mining and mi
In 2003, NASA's twin Mars Exploration Rovers, Spirit and Opportunity, began exploring the surface of the red planet. While both rovers performed for longer than expected, Spirit's mission ended in 2009 when the rover became stuck in a soft patch of soil. Rovers can autonomously detect and avoid rocks and other obstacles with ease, but detecting soft soil hazards remains a challenge for rover operators. While Opportunity is still operating, it has lost mission time while stuck in soft soil patches. The Autonomous Soil Assessment System 2.0 (ASAS), building upon previous work by Mission Contro
Current path planning systems for NASA's Mars rovers require extensive human input that can lead to wasted mission operations, due to communication delays and time-consuming manual analysis of data gathered from orbit and the rover. The Intelligent Path Planner (IPP) allows for heterogeneous data sets to be aggregated in real time, enabling rovers to learn as they drive. The IPP uses the information it has gathered to influence the path it plans, while also adapting the path based on the terrain encountered. Machine learning teaches the IPP to associate different terrains with performance le
Mission Control proposes to demonstrate a Machine Learning Operations (MLOps) pipeline and corresponding software technology stack for deployment, characterization and improvement of Artificial Intelligence (AI) models in an operational environment for Edge devices in Space. While AI has rapidly gained ground in terrestrial applications, the use of on-board AI for Space applications is nascent. Performance and operational considerations required for using AI models in these environments are not fully understood. By establishing a Canadian AI Lab in Space and performing an extended-baseline dem
To commercialize artificial intelligence software products and services for the global space exploration and commercial markets.
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
Following the successful development and deployment of control software for Mission Control Academy, Mission Control is working towards adapting this cloud based space robotic control solution for upcoming commercial space missions.
Commissioning of a Machine Learning Operations Pipeline: Infrastructure and processes to manage data, models, and software are critical to deploying trustworthy and robust artificial intelligence solutions. This project will advance Mission Control’s core Machine Learning Operations (MLOps) Pipeline, including data management, model staging, and cloud and embedded hardware to better serve AI-based solutions to customers in the space industry.
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
MCS has been exported to the USA for use by NASA. Oother countries + companies have near-term lunar ambitions. This project will build upon previous business dev. to expand sales into the new markets of Japan, India and Luxembourg.
The goal of this project is to patent Mission Control Space Service’s Autonomous Soil Assessment System (ASAS), a critical element of Mission Control's full-stack robotic control software for exploration spacecraft.
The purpose of the Canadian International Innovation Program (CIIP) grant agreement is to support Canadian SMEs identify international partners in CIIP target countries for industrial research and development collaboration that has good potential for commercialization.
All grants from Federal Economic Development Agency for Southern Ontario
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.