Robotics software forms the digital backbone of modern robotic systems, enabling perception, control, coordination, and learning. This topic covers operating systems, middleware, simulation tools, and control frameworks used to build and manage robots. It also explores how software platforms support modular development, hardware abstraction, and integration with AI models. Robotics software plays a key role in accelerating development cycles and enabling scalable deployment across different robot types. As robots become more complex, software increasingly defines system capabilities and performance.
Stuttgart-based AI robotics software company Sereact has raised $110 million in a Series B led by Headline, with customers including BMW and Daimler Truck already running its vision-language-action models in live production environments.
Google has introduced a new AI model that improves how robots understand, plan, and act in real-world environments, marking progress in embodied reasoning.
Oxford spinout Stateful Robotics has raised $4.8 million to develop an AI platform designed to give robots memory and long-horizon planning capabilities for real-world industrial deployments.
Chinese robotics developers are integrating the OpenClaw AI agent into humanoids, robotic arms, and home robots, signaling an early push to bring autonomous AI agents into physical machines.
Google has brought robotics software company Intrinsic fully in house, signaling a major push to integrate its AI models and cloud infrastructure into industrial robotics.
NVIDIA has unveiled Cosmos Policy, a unified AI model for robot control and planning built on its world foundation models, improving manipulation performance and real-world task execution.
Xiaomi has released Robotics-0, an open-source Vision-Language-Action (VLA) model designed to enable real-time perception and control for embodied AI systems, marking a strategic push into foundational robotics software.
CES 2026 marked a turning point for Physical AI, as humanoids, autonomous machines, and AI-driven platforms moved from experiments to scalable, real-world systems.
Caterpillar and NVIDIA deepened their partnership at CES 2026, outlining how Physical AI will transform construction, mining, manufacturing, and industrial supply chains.
London-based startup Humanoid moved from concept to a functional alpha prototype of its HMND 01 robot in seven months, compressing a development cycle that typically takes up to two years.