Amazon Web Services (AWS) has introduced an open-source development stack to help companies build and deploy robots that can perceive their surroundings, make decisions, and perform physical tasks by bringing together cloud computing, simulation, and artificial intelligence tools.

Called the Physical AI Toolchain on AWS, the platform combines AWS infrastructure with NVIDIA’s physical AI software ecosystem to support the development of industrial robots, autonomous mobile machines, and humanoid systems. Amazon says the toolchain is intended to reduce the engineering effort required to move AI models from development into real-world machines.

The launch reflects a broader shift in AI development: moving beyond systems that generate text and images toward machines that must interact with physical environments, where mistakes can damage equipment, disrupt production, or create safety risks.

Traditional industrial robots typically perform predefined movements in controlled environments. Physical AI aims to make machines more adaptable by enabling them to interpret sensory information, respond to changing conditions, and learn from experience.

For example, a robot working on an assembly line might need to handle components presented at different angles, while an autonomous warehouse machine must navigate changing layouts and avoid obstacles. Humanoid robots face an even broader challenge: manipulating unfamiliar objects and performing tasks in environments designed for people.

Training these systems requires more than a capable AI model. Developers need large quantities of training data, realistic simulations, computing resources, and methods to transfer trained models onto physical hardware.

AWS says its new toolchain brings these elements together in a common development workflow, allowing companies to adopt the full stack or select individual components for existing projects.

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