Customers across the GE portfolio, and the GE businesses themselves, are looking to industrial-grade autonomous and semiautonomous robotic systems to navigate, inspect, and act in unstructured environments towards gains in productivity, capability, performance, cost reduction and safety. In addition, the industrial world is looking to take advantage of modern digital capabilities to shape and support our physical technologies.
GE Research's robotics platform offers a development environment along with a collection of hardware, software and process modules, tools, practices, and standards that allow robots to autonomously perceive their environment, effectively represent and reason about it, and work with humans to complete industrial missions. Building your industrial robotics solution has never been more collaborative.
Providing reusable capabilities that increase the speed of development of robotics solutions; the platform also provides a set of infrastructure systems to deploy and manage robotics developments.
Enabling scaling so that robotics solutions can be expanded, improved and applied to new domains; the modular architecture enables the creation of new robotics solutions from the combination of existing platform components and reuse of current applications
Codifying, storing, and exposing robotics capability, knowledge and experiences via catalogs, libraries and repositories that support coherent organization, adaptation, sharing and reuse.
GE Brain: Embedded AI for powering industrial robots & autonomous systems
Embedded AI computer is an AI supercomputer on a module. It packs performance into a small, power-efficient form factor that’s made for intelligent edge devices like robots, drones, smart cameras, and portable medical devices.
Perception Libraries is a collection of algorithms & pipelines optimized for the Embedded AI Computer to deliver high speed robotic perception through sensor analytics such as computer vision, deep learning, & signal processing.
Action Libraries is a collection of algorithms & libraries optimized for the Embedded AI Computer to deliver perception driven intelligent behaviors such as visual serving and obstacle avoidance path planning & navigation.
Autonomy Framework is a decisioning framework operating on the Embedded AI Computer intended to manage Perception & Action to regulate the robotic autonomy through attention, reasoning, & mission-level understanding to enable robust robotic behavior in dynamic & uncertain environments.
Capabilities utilized for Robotics Platform & Autonomy Engine project
Developing intelligent robotic systems by integrating robot perception, learning, and motion planningRead more
Developing and scaling machine learning solutions for industrial applications to facilitate continuous learning, adaptation and improvement in dynamic operating environmentsRead more
Enhancing fundamental and applied research to mimic human visualization and interpretationRead more