You are here: / / AI

Tag Archive for: AI

Machina Labs expands focus to satellites and reentry vehicles

The collaboration between Machina Labs and various entities in the space sector underscores the growing role of robotics and artificial intelligence (AI) in advancing manufacturing processes. Here are key points regarding Machina Labs’ involvement:

  1. Established in 2019: Machina Labs, a Los Angeles-based startup, was founded in 2019, and it has rapidly expanded its presence in the space sector. The company focuses on leveraging robotics and AI to enhance manufacturing processes, particularly in the context of space-related applications.
  2. Collaboration with NASA and AFRL: The startup has collaborated with prominent organizations such as NASA and the United States Air Force Research Laboratory (AFRL). The work with AFRL specifically targeted the development of robotic technology for manufacturing metal tooling used in composite structures. This indicates a commitment to advancing manufacturing capabilities through innovative technologies.
  3. Machine Learning for In-Space Manufacturing: In collaboration with NASA, Machina Labs applied machine learning-based software for in-space manufacturing, particularly with autonomous articulated robots. This aligns with the broader trend of incorporating AI solutions into space exploration and manufacturing processes.
  4. Partnership with Satellite Manufacturers: Machina Labs has extended its services to satellite manufacturers, assisting them in rapidly iterating designs. The ability to quickly iterate and test designs is crucial for optimizing satellite components and systems. The company’s involvement in this area highlights the significance of advanced manufacturing techniques in satellite development.
  5. Innovative Manufacturing Process – Roboforming: Machina Labs introduced a manufacturing process called Roboforming. This process is specifically mentioned for its application in producing toroidal propellant tanks. Traditionally, manufacturing such tanks has been challenging and time-consuming. The Roboforming process aims to reduce costs and accelerate the manufacturing of these specialized tanks.
  6. Expertise of Machina Labs Leadership: Edward Mehr, the CEO and co-founder of Machina Labs, brings a background as a former Relativity program manager and SpaceX software engineer. This experience in the aerospace and space industries likely contributes to the company’s ability to address challenges in space-related manufacturing.

In summary, Machina Labs’ work reflects the ongoing integration of advanced technologies, including robotics and AI, in space-related manufacturing processes. As the space industry continues to evolve, such innovations play a vital role in enhancing efficiency, reducing costs, and pushing the boundaries of what is achievable in space exploration and satellite development.

Machina Labs’ involvement in working with hypersonic vehicles and the utilization of artificial intelligence (AI) and machine learning (ML) in their processes highlights the cutting-edge technologies being applied in aerospace manufacturing. Here are key points related to their work in these areas:

  1. Hypersonic Vehicles and Material Toughness: Machina Labs is engaged in developing manufacturing processes for hypersonic vehicles, which are known for their high-speed flight capabilities. The company works with materials, including titanium and Inconel, that possess the necessary toughness to withstand the extreme heat generated during reentry. This indicates a focus on addressing the unique material challenges associated with hypersonic flight.
  2. AI and ML in Metal Deformation: Machina Labs employs machine learning, utilizing Nvidia chips, to replicate the work of craftsmen involved in incrementally deforming metals or composites to create specific shapes. The goal is to replicate the decision-making process that occurs in the mind of a skilled craftsman. This involves building empirical models of how materials deform during shaping, allowing the AI systems to determine the appropriate processes for different geometries.
  3. Empirical Models for Deformation: Machina Labs has developed empirical models that capture the deformation characteristics of materials throughout the shaping process. These models serve as a foundation for the AI and ML algorithms to understand how materials respond to various manufacturing processes. This data-driven approach enables a more precise and efficient manufacturing process.
  4. Determining Process Parameters: The company’s engineers leverage the empirical models to determine the right set of process parameters for each geometry. This involves understanding the specific requirements for shaping different parts and guiding robots to execute the necessary actions. The combination of AI, ML, and robotics facilitates a level of precision that is crucial in aerospace manufacturing.

Machina Labs’ work reflects the integration of advanced technologies not only in the aerospace industry but specifically in addressing challenges related to hypersonic vehicles. The use of AI and ML for replicating craftsmanship and determining optimal manufacturing processes showcases the potential of these technologies in revolutionizing traditional manufacturing approaches. As the aerospace sector continues to advance, such innovations contribute to increased efficiency and capabilities in the production of complex aerospace components.

Open Architectures in-ground systems are getting implemented fast

The use of secure open architectures, flexible data frameworks, and DevSecOps has allowed space agencies to become more scalable and adaptable. Open architectures allow for open data to be processed, analyzed, and shared, while DevSecOps ensures ongoing security and flexibility. These elements can be integrated into any system, allowing for unprecedented capabilities and the ability to plug in the latest innovation.

Terrestrial stations offer the opportunity for the fastest modernization, as software, algorithms, and AI can be added to add new functionality or correct problems. Open systems are made possible through advanced cyber, cloud, and AI technologies, providing interoperability and the ability to rapidly test, implement, and update elements from any partner. Standard APIs and industry-standard formats can be used to ensure data remains free, even in older ground stations.

Open architectures offer advantages like:

  • The use of open data platforms and interoperable systems enables the Department of Defense (DOD) to integrate technology from both traditional partners and startups. This allows for the immediate implementation of innovative solutions from various sources.
  • By utilizing a coordinated DevSecOps approach, faster and more dependable innovation can be achieved through automated deployments, standardized processes, and automated security scans. For instance, Booz Allen developed a tool suite that enabled data scientists to securely create, train, and deploy machine learning models for a mission-critical national system.
  • Microservices architecture facilitates modular modernization by allowing for the integration of multiple advanced technologies like AI and ML into workflows. GPU technology can then be used to incorporate AI and ML into the system. Booz Allen demonstrated the effectiveness of deep reinforcement learning in enhancing collision avoidance and optimizing satellite scheduling.
  • To ensure advanced space cyber defense, cloud-native technologies are used to integrate security features from the beginning. These include standardized approaches to ensure data provenance and integrity, encryption to protect network connections and data, and zero-trust security that reduces human error and adds resilience against cyber attacks. Cybersecurity protection safeguards the intersection between IT and the satellite system, mitigating operational technology vulnerabilities.

Modularity to Address Multiple Challenges

Once a space organization transitions to an open-architecture framework, the door is open to any innovation partner with a good idea. The time to implement a new technology for a changing mission can be reduced from months or weeks to as little as hours or even minutes. Agile solutions can be rapidly at work for objectives like these:

  • The design of many U.S. satellites currently in orbit was based on the belief that space was a sanctuary safe from attacks. However, these satellites are now vulnerable to threats such as anti-satellite missiles, lasers, jamming devices, and cyber attacks. To address this, new software can be updated on-orbit, and smart analytics can alert operators to potential attacks. Attack assessment and self-healing architectures can also ensure that a space mission’s continuity is maintained even after an attack.
  • AI can be implemented at any point in the mission to enable intelligent and coordinated space-based information gathering, which is essential for command and control. This allows for faster generation and sharing of intelligence insights and integrated initiatives like Joint All-Domain Command and Control (JADC2).
  • As the world becomes increasingly reliant on satellite services, overcrowding in space becomes a growing concern. By utilizing modern algorithms to process sensor data from partners worldwide (such as radar, visual, and infrared), more precise locations can be determined, and forecasts and automated courses of action can be optimized for split-second decisions. Open architectures can be leveraged to conquer today’s challenges and stay ahead of future threats and challenges.
logo Link Communications Systems specialises in VSAT network design

Link Communications Systems is a London based telecommunications service provider and technology integrator that specialises in VSAT network design, integration and services in remote regions throughout the world. LCS provides Internet via Satellite, Private Networks, Maritime, Television broadcasting and other services.

Get Free Quote

Business and Enterprise Services

Satellite Coverage (Footprint)

vsat world map coverage

Follow us…

© 2022 Link Communications Systems. All Rights Reserved | Privacy and cookies policy