.H100-container1 { display: grid; grid-template-columns: repeat(auto-fit, minmax(min(300px, 100%), 1fr)); /* 更灵活的响应式设置 */ gap: 10px; margin: 0 auto; padding: 0 15px; /* 添加两侧留白 */ width: 100%; /* 替代max-width */ box-sizing: border-box; } .H100-item { text-align: center; padding: 5px; } .H100-item img { width: 100%; height: auto; display: block; /* Ensures image fills container space */ } .H100-item video { width: 100%; height: auto; display: block; /* Ensures image fills container space */ } h2 { text-align: center; font-weight: bold; font-size: clamp(1.5em, 5vw, 2.5em); /* 添加响应式字体 */ margin-bottom: 10px; } .product-learn-more-button { text-decoration: underline; font-weight: bold; color: #0095ff; cursor: pointer; } .product-learn-more-button:hover { color: #D10034; } .large-paragraph { font-size: 17px; font-weight: bold; } .video-container { position: relative; width: 100%; max-width: 100%; /* Adjust this value as needed */ margin: 0 auto; } .video-container::before { content: ""; display: block; padding-top: 56.25%; /* 16:9 aspect ratio */ } .video-container video { position: absolute; top: 0; left: 0; width: 100%; height: 100%; object-fit: cover; } .responsive2-table { border-collapse: collapse; width: 100%; } .responsive2 th, td { border: 1px solid black; padding: 8px; text-align: left; } .responsive2 th { background-color: #f8f8f8; } .models-showcase { max-width: 1200px; margin: 0 auto; padding: 40px 20px; } .section-title { text-align: center; font-size: 32px; color: #2c3e50; margin-bottom: 40px; } .model-container { display: flex; justify-content: space-around; gap: 30px; flex-wrap: wrap; } .model-card { flex: 1; min-width: 280px; max-width: 320px; margin-bottom: 30px; } .model-image { width: 100%; height: 200px; object-fit: contain; border-radius: 8px; margin-bottom: 15px; } .model-title { font-size: 20px; color: #34495e; margin-bottom: 12px; font-weight: 600; } .model-desc { font-size: 15px; color: #7f8c8d; line-height: 1.6; } @media only screen and (max-width: 768px) { .H100-container1 { grid-template-columns: 1fr; /* 移动端单列显示 */ gap: 15px; padding: 0 10px; } .large-paragraph { font-size: 15px; padding: 0 10px; } .responsive2-table { overflow-x: auto; /* 允许表格横向滚动 */ display: block; } /* 添加过渡效果 */ .H100-item img, .H100-item video { transition: transform 0.3s ease; } .H100-item:hover img, .H100-item:hover video { transform: scale(1.02); } } .card-grid { display: flex; flex-wrap: wrap; gap: 20px; justify-content: center; } .card { background: #fff; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); overflow: hidden; transition: transform 0.3s ease; width: 300px; } .card:hover { transform: translateY(-5px); } .card-image { height: 200px; width: 100%; object-fit: cover; } .card-content { padding: 15px; } .card-title { font-size: 1.2em; margin-bottom: 10px; } .card-description { color: #666; font-size: 0.9em; } .product-link { text-decoration: underline; font-weight: bold; color: #0095ff; cursor: pointer; } .product-link:hover { color: #D10034; } 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 the deployment and efficient operation of 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 segment-ation networks on the edge side, utilizing the combination of 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 obstacles in images. PRODUCT VIDEO Compatible with RDK AI Kit It integrates seven visual algorithms and supports the local deployment of the Deepseek large model. It covers applications such as object recognition with YOLOv8, waste classification detection, ArUco code recognition for palletizing, and OCR text recognition and extraction. From image feature extraction to neural network deployment, it builds a complete algorithm application-engineering practice workflow. With Python code implementation for neural network deployment, it enables quick mastery of AI vision algorithm development and robot collaboration capabilities. This makes it suitable for university training, robot labs, and personal technical exploration. The RDK AI Kit includes: 1× suction pump, 1× G-shaped base, 1× camera flange, 1× mat, and a set of blocks. Kindly note that the gripper is not included and must be purchased separately. Empowering Collaboration Between RDK X5 and myCobot 280 Ecosystem The RDK X5 boasts an outstanding community ecosystem, bringing together nearly 100,000 developers. It offers hundreds of accessories and kits, along with a wealth of content and events, helping developers solve problems and enhance their technical abilities. Serving as the control core, the myCobot 280 RDK X5 is specifically developed for scientific research, education, and innovative technology applications. It supports various control methods, including puzzle-style programming, code-based programming, and manual dragging. It comes with built-in motion control algorithms and offers over 90 open-source drive interfaces to aid in the development of complex applications. The integration of both ecosystems provides strong support for robot development, driving technological innovation and expanding applications. PARAMETERS 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, high reliability, and high 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 a variety of 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 & drop programming software myBlockly specifically designed for entry-level education, along with 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. Hot Accessories Recommended myCobot Adaptive Gripper It can achieve grabbing applications with robotic arms. myCobot G-Shape Base It is fixed by a G-type clamp and can be freely installed on the edge of the desktop. myCobot Flat Base It can fix the robotic arm by vacuum adsorption principle. myCobot Camera Flange It can be used in more applications such as machine vision and image recognition. myCobot Suction Pump It performs the function of absorbing objects with robotic arms. myCobot Flexible Gripper It is used to clamp irregularly shaped objects and can be deformed. myCobot Parallel Gripper It can complete the fine application of robotic arm grabbing. myCobot Phone Holder It caters to a wide range of phone sizes. myCobot Pen Holder It can adapt to various types of pens for stable gripping. myCobot Gamepad It can directly control the robotic arm, and can also be used by other software. myCobot Dual-Vacuum Gripper It performs the function of absorbing larger objects with robotic arms. myCobot Cylinder It is used to implement the function of creative development.
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