Service Robot Solutions

For service robot applications, leveraging 3D vision perception technology and proprietary ASIC chips, we achieve high-precision 3D depth information acquisition, enabling service robots to perform perception, obstacle avoidance, and navigation functions. These solutions are widely applicable in commercial cleaning, food delivery, building delivery, warehousing and logistics, education and entertainment, and other fields.

Xinmai has provided technology and product services to over 100 leading service robot brands, including Gaussian Robotics, Yunji Technology, and Pudu Technology.

Empowered by 3D Vision, One Cleaning Vehicle Replaces Three Workers

Artificial intelligence is entering a period of explosive growth, deeply integrating with industries and applications. A number of AI industry chain enterprises, by independently developing key core technologies and increasing investment in application-oriented talent, are enabling the implementation of AI applications in fields such as robotics and intelligent cockpits.

At Shenzhen Tian'an Cloud Valley Industrial Park, reporters observed a Gaussian cleaning robot, equipped with 3D vision sensors and a Xinmai robot controller, sweeping fallen leaves from the ground. Leveraging its 3D vision "smart eye," the robot can automatically identify and clear trash, and autonomously navigate obstacles in complex outdoor environments, significantly improving cleaning efficiency. The park's cleaning operations manager stated, "The park covers tens of thousands of square meters, and the dining areas alone require three cleaning staff to work in shifts. Now, with just one commercial cleaning vehicle, we can free up three human resources."

Currently, as AI application scenarios proliferate, related products are continuously being deployed in fields such as robotics, intelligent cockpits, virtual reality, and industrial applications. Addressing the emerging demands of the intelligent robot industry, Xinmai has launched various robot vision perception solutions, including binocular structured light, monocular structured light, iToF, and LiDAR, to help robots achieve functions such as mapping, localization, obstacle avoidance, and scene recognition.

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What are the features of the RK3588-based intelligent robot control board?

As the core brain of a robot, an intelligent robot control board needs to possess a series of key features to support its efficient and intelligent operation. The following are the main features required for an intelligent robot control board:

NPU Acceleration

Supports offline large models: Capable of handling complex AI tasks and running large neural network models even in unstable network or offline conditions.
Object recognition and other algorithms: Built-in or loadable algorithms for object recognition, facial recognition, scene understanding, and more, enhancing the robot's perception capabilities.
Monocular ranging algorithm: Supports distance measurement using a monocular camera, enhancing the robot's spatial awareness.
Flexible computing power stacking: Offers flexible computing power expansion, allowing NPU computing resources to be adjusted according to task requirements.

Operating System Support

Supports Linux and Android systems: Provides extensive support for Linux and Android operating systems, making it convenient for developers to choose the appropriate OS for development.
Android-friendly UI design: For robots using the Android system, it offers user-friendly interface design tools and frameworks.
Linux standard adaptation for ROS/ROS2: Perfectly compatible with ROS (Robot Operating System) and ROS2, providing strong ecosystem support for robot application development.

Intelligent Voice Interaction

Multi-microphone array: Equipped with multiple microphone arrays to improve voice capture clarity and directionality.
Offline voice wake-up word: Supports offline voice wake-up, allowing the robot to be activated by a specific wake-up word even without an internet connection.

AMP Architecture Support

Strong real-time performance: Ensures the robot control board has extremely high response speed and real-time capability when handling critical tasks.
High stability: Utilizes stable hardware and software architecture design to reduce system failure rates and enhance robot operational reliability.
Lower hardware cost: Achieves a balance between performance and cost by optimizing the AMP (Asymmetric Multiprocessing) architecture.

ROS Adaptation

Adapts to standard ROS/ROS2: Seamlessly integrates with ROS and ROS2, allowing robots to easily access various libraries, tools, and applications within the robot ecosystem.
Adapts to various radars: Supports various radar sensors (e.g., LiDAR, millimeter-wave radar) to enhance the robot's perception capabilities in complex environments.
Adapts to RK structured light: Highly compatible with Rockchip's self-developed structured light modules, enabling more precise 3D perception and measurement.

Advantages of RK3588 on Robot Control Boards

High CPU computing power: Up to 93KDMIPS of CPU computing power provides robust data processing capabilities for the robot control board, ensuring rapid response to various commands and tasks.
High GPU computing power: Up to 512GFLOPs of GPU computing power supports complex graphics rendering and multimedia processing, enhancing the robot's visual perception and interactive experience.
High NPU computing power: Triple-core NPU with up to 6TOPs (INT8) computing power, supporting deep learning frameworks, provides efficient and precise computing support for AI applications on the robot control board. For example, with the YOLO-v8n model, a single core can achieve an inference speed of 59.6fps, meeting the requirements of high real-time applications.
Rockchip's proprietary modules: Rockchip's self-developed structured light modules and RK1808 computing sticks provide more specialized hardware support for the robot control board, enhancing the robot's overall performance and functionality.
Industrial-grade chip standard: Supports a wide operating temperature range from -40°C to 85°C, ensuring stable operation of robots in various harsh environments.

RK3588-based Robot Control Board Design Block Diagram