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.
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.
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.
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.
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.
Arm IP and technologies for robotics
Arm Zena subsystems
Designed for physical AI computing, Arm Zena CSS provides whole platform and tools to customize robots' performance, provide the universal architecture for various robot use cases, simplifies design, enables differentiation, and speeds time to market. It balances performance and power efficiency for AI workloads.
Arm AE technologies
A dedicated portfolio of IP and technologies built to meet the rigorous performance, safety, and scalability demands of autonomous machines, enabling physical AI across robotics and powering the next generation of AI-defined vehicles and intelligent systems.
Cortex-R CPUs
High-performance, deterministic real-time processors designed for safety-critical robotics control. Cortex-R delivers predictable execution, low latency, and industrial-grade reliability for motor control, sensor fusion, and mission-critical workloads.
Cortex-M CPUs
Scalable, power-efficient processors optimized for embedded control and edge AI in robotics. Cortex-M enables fast response, secure interaction, and efficient sensing and actuation in intelligent robotic systems.
Functional safety
Arm’s functional safety technologies help detect faults, isolate failures, and ensure predictable operation, enabling developers to build intelligent robots that operate reliably and safely in the real world.
Cybersecurity
Arm’s security technologies help to safeguard data, prevent unauthorized access, and ensure trusted operation, enabling developers to deploy intelligent robots with confidence and resilience.
Latest news and resources
- News and blogs
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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