Build Intelligent
Robotics at the Edge
Build intelligent robots faster with Robotics AI Suite. Pre-validated components, specialized reference applications, and hardware-aware optimizations help you integrate AI perception with deterministic control, optimize workloads across Intel CPUs, GPUs, and NPUs, and scale from prototype to production.
Accelerate development for all kinds of robotics
Innovate and scale fast with an open ecosystem
Reduce Complexity, Improve TCO
Explore the Intel Robotics Ecosystem
Robotics
Development Kit
Edge computing platforms for running complete robotics stacks, from ROS2 and AI to perception, navigation, and real-time control.
Single Intel SoC
Intel IPU + Intel® Arc™ graphics + Intel NPU + CPU for nextgen robotics
Robotics IO Ready
CAN-FD EtherCAT-capable 2.5GbE, MIPI-CSI-2 8× GMSL inputs
Edge Friendly
One platform for vision, AI, and control
Robotics
Development Stack
A modular software stack spanning blueprints, AI toolkits, and inference backends for production robotics.
- Humanoid Robot
- Autonomous Mobile Robot
- Stationary Arm Robot
- OpenVINO™
- PyTorch XPU
- USB and GMSL cameras
- Intel® Image Processing Unit (Intel® IPU)
- Deterministic execution, Intel TCC, PREEMPT_RT
- CAN-FD, EtherCAT interfaces
- Realtime Control
- Security
Blueprints
Explore real-world reference implementation
Kick-start your robotics journey with specialized reference applications. Built on Intel’s robotics expertise, these reference apps help developers design, test, and deploy real-time autonomous systems on Intel silicon - scaling from ARM-based platforms to cobots and humanoid robots.
Autonomous Mobile Robot
Autonomously navigate AMRs in industrial environments using real-time SLAM and open-source AI models.
Stationary Robot
Run real-time control, perception, and AI on Intel with advanced 3D vision and depth sensing.
Humanoid Robot
Enable natural robot interaction via voice and text using LLMs and Vision AI to generate actions and accelerate task planning.
Featured AI Models
Explore our library of pre-trained models optimized for edge deployments on Intel hardware. Browse a wide range of robotics use cases and quickly deploy models on your edge system. Need more customization? Fine-tune your model in just a click with Physical AI Studio.
Robot Perception
Cameras and sensors enable robots to see and understand their environment, supporting perception, navigation, inspection, and AI‑driven decision making.
- GMSL
- USB
GMSL
Cameras placed meters from the developer kit
- Sends full-quality video over one cable across several meters.
- One connector on the kit runs up to four cameras.
- A dedicated Intel® Image Processing Unit (Intel® IPU) handles the imaging in hardware, keeping the CPU and Intel® Arc™ graphics free.
Trusted Robotics
Deploy robotics workloads with deterministic control, functional safety, and end-to-end security.
Predictable control from sensors to actuators
- Real-time Linux provides deterministic task scheduling.
- Dedicated CPU cores keep control loops separate from AI workloads.
- Intel® TCC reduces timing variation from cache, memory, and power management.
- PTP synchronization, EtherCAT, and CAN support coordinated sensing and robot control.
Protection from boot to deployment
- Secure Boot verifies the boot chain and prevents unauthorized software from loading.
- Signed kernel modules protect the operating system from untrusted extensions.
- Full-disk encryption protects models, configuration, and operational data at rest.
- OS hardening and security updates reduce the system’s exposed attack surface.