Overview

How Arm technology supports next-generation robotics

AI Summary

Robots were once fixed-function machines, limited to controlled environments. Today, advances in AI, affordable sensing, and efficient on-device compute are changing everything. Robots can now adapt to people, environments, and shifting tasks, accelerating deployment far beyond manufacturing into logistics, healthcare, retail, and service applications.

 

As barriers fall - including lower-cost sensors and actuators, accessible training, and adaptable AI models - robotics is scaling faster than ever. With deep system-level architecture expertise and a broad ecosystem, Arm works with our partners to make it easier to build, deploy, and scale intelligent robotics.

Use cases

Key use cases for robotics

Humanoids

Humanoid robots are designed to operate safely and autonomously in human environments, performing tasks that require perception, mobility, manipulation, and interaction. Unlike traditional robots, humanoids must navigate unstructured spaces, understand human intent, and adapt in real time to dynamic conditions.

Humanoid robot carry box standing in a living place.

Drones & aerial systems

Aerial autonomy demands maximum performance per watt. Arm’s power-efficient compute enables drones to run advanced onboard intelligence, supporting real-time perception and decision-making within strict thermal and flight-time constraints.

Robotics use case - drones

Collaborative robots

Collaborative robots, or cobots, are designed to work safely alongside humans, sharing workspaces and assisting with tasks such as assembly, packaging, material handling, and quality inspection. Unlike traditional industrial robots, cobots must combine precision and adaptability with constant awareness of human presence.

Engineer collaborating with a robotic arm in a precision manufacturing setting.

Autonomous mobile robots

Autonomous mobile robots (AMRs) are designed to navigate dynamic, human-centric environments without fixed infrastructure, enabling flexible automation in warehouses, factories, hospitals, and commercial facilities. Common use cases include material transport, order fulfillment, inventory management, and last-meter delivery, where AMRs must operate reliably alongside people and other machines.

Autonomous mobile robot transporting packages in a warehouse.
Humanoid robot carry box standing in a living place.
Technologies

Arm IP and technologies for robotics

Success stories

Partner innovation

Autonomous service robots designed for industrial and logistics environments.

Robot innovation
ROBOTIS AI autonomous robots

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Engineer working on a small humanoid robot in a lab setting.

Robotics
Bringing robotics to life

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Compact IoT module connected to an embedded device interface.

Smart homes
Home appliances turn into smart devices

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FAQs

FAQs

What role does Arm play in modern robotics?

With deep system-level architecture expertise and a broad ecosystem, Arm makes it easier to build, deploy, and scale intelligent robotics.

Why are functional safety and cybersecurity important in robotics development, and how does Arm help?

Functional safety keeps robots predictable and protects people, while cybersecurity safeguards data and prevents attacks. Arm’s built-in safety and security technologies help developers build intelligent robots that are safety-enabled, trusted, and reliable.

Which Arm technologies are commonly used in robotics systems?

Robotics platforms commonly use Arm Cortex CPUs, to balance AI performance, real-time control, and energy efficiency.

What makes Arm essential for building intelligent robots?

Arm’s tools and ecosystem empower developers to build smarter, faster, and more scalable machines. Arm makes it easier to deploy AI, control systems, and sensors across robots, so teams can focus on innovation.

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