Bridging Human and Machine Perception for Mobile Robots
Intel® RealSense™ Robotics transform intralogistics with advanced AI and 3D visual mapping
Boost efficiency with autonomous mobile robots (AMRs) that intelligently adapt to changes and obstacles in complex environments.
The Robot Revolution Starts with Seeing the World in 3D
With the Intel® RealSense™ Depth Camera D455, AMRs can perceive environments with human-like vision, enabling them to navigate complex spaces with powerful precision. Advanced AI-driven 3D visual simultaneous localization and mapping (Visual SLAM) technology further augments AMRs, with the ability to plan the most efficient route and respond to unforeseen obstacles on their own.
Empower AMRs with Three Incredible Technologies
Intel RealSense Robotics are made up of a trio of innovations featuring state-of-the-art vision technology, end-to-end Intel® hardware, and optimized AI software.
Visual SLAM
Intel RealSense Robotics feature full RGBD capabilities, with 3D visual inputs to enable onboard AI that creates a 3D color map of environments.
- Designed for traffic-intensive, dynamic, hybrid, and ever-changing environments
- Less than 2cm endpoint accuracy for meticulous materials handling
- Less than 5mm docking precision to position AMRs right where they need to be
Intel® RealSense™ Camera
Advanced 3D technology for cutting-edge automation applications features a wider baseline of 95mm to significantly improve depth accuracy. This enhanced precision enables AMRs to perceive environments with greater clarity and navigate complex spaces with ease.
- Global shutter RGB sensor synchronized with depth FOV for superior image quality and precise depth-to-color alignment
- Intel® RealSense™ Vision SoC V5 with integrated IMU for augmented vision and refined depth awareness, even when moving
- Open source Intel® RealSense™ SDK 2.0 for cross-platform customization and seamless integration
Robotic Vision Platform Industrial Compute Module
This versatile, all-in-one computing solution for AMRs features powerful Intel® Core™ i7-1270P processors and AI optimized with the OpenVINO™ toolkit. AMRs get all the performance they need to dynamically plan routes, detect and avoid obstacles, and more.
- Ruggedized, durable enclosure with active cooling to help ensure uptime in harsh environments
- Multiple CPU entry points and optional Intel® Arc™ A370M GPU for right-sized AI performance
- Down to the silicon, end-to-end Intel for compatibility, serviceability, reliability, and optimized AI
Transform How Mobile Robots Perceive Their Environment
Intel RealSense Robotics vSLAM changes the way AMRs see, from limited 2D LiDAR capabilities to full-color 3D vision. With this innovative approach, AMRs can distinguish different colors, patterns, and objects in changing environments and lighting conditions.
Visual SLAM
2D LiDAR SLAM
Hardware complexity
Streamlined, efficient platforms
Using advanced stereo depth cameras combined with familiar x86 components, the Intel RealSense Robotics solution focuses on hardware integration for enhanced serviceability and reliability. This approach simplifies the system architecture, making it more efficient and easier to maintain.
Niche, decentralized systems
Several sensors and decentralized components can increase hardware footprint complexity. While programmable logic controllers (PLCs), motor drivers, and encoders are essential for both LiDAR and Visual SLAM AMRs, the additional sensors in LiDAR systems may require more-specialized skills to service.
Navigation capabilities
Powerful, adaptable AI vision
The Intel RealSense Robotics solution processes up to 276 million data points per second with the ability to interpret visual cues, shapes, colors, and patterns anywhere in the robot’s 360-degree, 3D field of view.
Limited sensors that struggle with complexity
LiDAR’s flat 2D observation of ground-level objects only generates simple distance measurements, without any data about colors, patterns, or the ability to identify objects.
Setup and manageability
Intelligent, autonomous mapping
AMRs can navigate freely without environmental indicators. Visual SLAM uses AI to navigate environments dynamically, creating its own digital map as it moves.
External setup and remapping required
In complex and challenging environments, LiDAR may require external reflectors or markers to assist with navigation. Changes to environment may require assisted remapping.
Future-proofing
Growth with AI advancement
AI computer vision allows for a higher ceiling of technological maturity as AI becomes more robust and integrates new capabilities like GenAI.
Stagnant growth
LiDAR is already mature, with less room for dramatic improvement.
Visual SLAM
Streamlined, efficient platforms
Usingadvanced stereo depth cameras combined with familiar x86 components, the Intel RealSense Robotics solution focuses on hardware integration for enhanced serviceability and reliability. This approach simplifies the system architecture, making it more efficient and easier to maintain.
2D LiDAR SLAM
Niche, decentralized systems
Several sensors and decentralized components can increase hardware footprint complexity. While programmable logic controllers (PLCs), motor drivers, and encoders are essential for both LiDAR and Visual SLAM AMRs, the additional sensors in LiDAR systems may require more-specialized skills to service.
Visual SLAM
Powerful, adaptable AI vision
The Intel RealSense Robotics solution processes up to 276 million data points per second with the ability to interpret visual cues, shapes, colors, and patterns anywhere in the robot’s 360-degree, 3D field of view.
2D LiDAR SLAM
Limited sensors that struggle with complexity
LiDAR’s flat 2D observation of ground-level objects only generates simple distance measurements, without any data about colors, patterns, or the ability to identify objects.
Visual SLAM
Intelligent, autonomous mapping
AMRs can navigate freely without environmental indicators. Visual SLAM uses AI to navigate environments dynamically, creating its own digital map as it moves.
2D LiDAR SLAM
External setup and remapping required
In complex and challenging environments, LiDAR may require external reflectors or markers to assist with navigation. Changes to environment may require assisted remapping.
Visual SLAM
Growth with AI advancement
AI computer vision allows for a higher ceiling of technological maturity as AI becomes more robust and integrates new capabilities like GenAI.
2D LiDAR SLAM
Stagnant growth
LiDAR is already mature, with less room for dramatic improvement.
Proven Success with Geek+
"The Vision Only Robot Solution, developed in collaboration with Intel, effectively leverages the depth vision perception of the Intel RealSense camera. Together with deep algorithmic innovations from both sides, it results in a boost in business growth and efficiency for customers, driving the digital and intelligent upgrade of smart logistics."
—Solomon Lee, VP of Product from Geek+
Robust and Reliable Navigation
Intel RealSense Robotics Visual SLAM—enabled AMRs are designed for optimal performance and adaptability in complex, highly dynamic environments.
Reliable
Ensure consistent performance in challenging environments where legacy technologies may fail.
Adaptive
With the Intel RealSense Depth Camera D455’s wide, 86-degree field of view and global shutter, these AMRs are better equipped to handle changing or unexpected environmental conditions.
Accurate
Benefit from precise 3D perception and localization, allowing AMRs to navigate complex layouts with confidence.
Be among the First to Deploy AI Computer Vision AMRs
Sign up today to express your interest and request pricing info. An Intel® RealSense™ technology representative will contact you as soon as the solution becomes available.