Our Team

The AI Foundations team is focused on enabling model-based systems engineering for edge-level artificial intelligence through scalable architectural design. The team works to enhance reliability of autonomy at the edge and to develop foundations around configuration, communication, and platform abstraction for the portability of our company's AI capabilities across computational platforms.

The Scene Understanding team is focused on leveraging machine learning approaches for adding contextual information to the world model that is generated by our autonomous systems. The team develops multi-modal detection and localization of large sets of high-value objects and classification of environment contexts to inform executive planning and to improve user experience.

The Scalable Learning team is focused on the creation of data pipelines for data transformations and processing. They are responsible for providing applications on Shield AI's Hivemind platform that enable Shield AI's other AI teams to better execute their charters using data analysis, learning, and experimentation.

The Global Reasoning and Executive Planning team is focused on developing, maintaining and implementing robust autonomous behaviors and executive planning architecture on Shield AI's robot systems. The team seeks to enhance user experience through reduced user cognitive load by developing robotic systems which reliably execute complex missions, autonomously selecting and executing the optimal task sequence to achieve mission objectives.

The Trajectory Planning and Control team is focused on developing and maintaining a robust, high-performance trajectory generation and management system to enable safe, predictable, robust, and fast flight in complex environments. The team researches, develops, matures and applies state-of-the-art algorithms, processes, and tools to support the development of best-in-class planning and control solutions.

The State Estimation team is focused on creating fast, efficient, maintainable, robust, precise, and accurate state-estimation systems. The team aims to develop state estimation systems that continually self-improve using collected field data. They work closely with teams across Shield AI to collaboratively solve cross-disciplinary problems such as connected systems design, including sensors selection and placement.

The Mapping team is focused on the development of a scalable, precise underlying environment model. Their product is the environment representation that enables applications such as motion planning, scene understanding, and user-experience. Additionally, the team develops probabilistic sensor models for simulation and exploitation, as well as strategies for preprocessing raw sensor data to make it more amenable for downstream use.

The Simulation team is responsible for the creation of realistic synthetic environments. The simulated environments the team builds and generates are used to train and test robotic systems to reduce the time and cost of real world testing. The Simulation team enables our company’s AI engineers to simulate flights in synthetic environments, generate training data for training robots, and detect bugs before they reach real flight testing.

The User Experience Design team is focused on designing and enhancing the user experience of all products and solutions. The team designs user interfaces and interactions, and identifies opportunities for human-robot collaboration that enhance AI capabilities and guide next generation hardware development.

The Platform & Systems Software team designs and implements high-performance software solutions that support Shield AI’s technology. The team is focused on creating, maintaining, and improving the firmware, kernel and system software used by Shield AI’s products and solutions.

The Mechanical Engineering team is focused on the design, integration and application of parts, mechanisms, materials, technologies and processes to realize the creation of Shield AI’s robotic systems. The team is also responsible for thermal engineering and aerodynamics. The team evaluates process technologies, design, and production methodologies to ensure fast, efficient, and effective execution of programs.

The Electrical Engineering team designs, integrates, and sustains the electronic systems for all Shield AI products, including the computing, communication, sensing, power, and propulsion systems.