The myCobot 280 RDK X5 is built with the RDK OS operating system and equipped with the D-Robotics RDK X5 Robot Developer Kit. It offers up to 10 TOPS of computing power and supports various complex models, including Transformer, RWKV, Occupancy, Stereo Perception, and the latest algorithms. This enables rapid deployment of intelligent applications. With a focus on intelligent computing and robotics applications, it provides rich interfaces and exceptional ease of use.
Support for Multiple Open-Source Vision and Large Language Models
Large Language Models (LLMs)
It supports deploying and efficiently operating large language models (LLMs) based on Transformer and RWKV, such as LLaMA, RWKV V4 0.5B, Qwen2-0.5B, CLIP, and other vision-language models. It enables features like image-text search and language interaction on the RDK X5.
YOLO-World Vision
It supports edge-side open vocabulary detection models, combining language and visual features, offering strong generalization capabilities. It runs efficiently on the RDK X5 and can address the long-tail problem in robotics.
Mobile SAM
It supports lightweight, general-purpose segmentation networks on the edge, utilizing prompts and images to achieve universal object segmentation. It runs efficiently on the RDK X5 and, combined with YOLO-World, enables pixel-level localization of image obstacles.
Parameteers
High-Performance Configuration
With its powerful product configuration, it can meet your embedded development needs. Through button interactions, screen displays, buzzers, and IO interfaces, whatever you think of can be developed.
Based on the RDK X5 from D-Robotics
Robot Operating System – RDK OS Simulation Support
RDK OS — A robot operating system specifically developed for the RDK series robot developer kits, built on Linux and Ubuntu as the system kernel. It is deeply optimized based on ROS 2, custom-designed to provide high performance, reliability, and real-time capabilities through the robot development middleware TogetheROS.Bot. RDK OS offers a wealth of core algorithms and model inference interfaces for robot development. It also integrates various application functions, including VSLAM, Occupancy, Stereo Perception, Yolo World, and large models, helping developers quickly build and deploy robot applications.
Robot Programming Made Easy
By offering the image-based drag-and-drop programming software, myBlockly, designed explicitly for entry-level education, puzzle-based programming, and graphical debugging tools, even beginners can easily master the robotic arm. The Python 2/3 development environment supports a variety of development libraries, including OpenCV, QT, pymycobot, and others, fulfilling users’ advanced development needs in robot control, image recognition, and front-end development.
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