{"product_id":"hiwonder-jetmax-pro-advanced-mecanum","title":"Hiwonder JetMax Pro Advanced Mecanum Chassis Jetson Nano ROS Kit","description":"\u003cstyle\u003e\n  .oel-hiwonder { color: #1f2933; font-family: Arial, Helvetica, sans-serif; line-height: 1.65; }\n  .oel-hiwonder img { display: block; max-width: 100%; height: auto; border-radius: 6px; }\n  .oel-image-grid { display: grid; grid-template-columns: repeat(2, minmax(0, 1fr)); gap: 16px; margin: 22px 0; }\n  .oel-image-grid figure { margin: 0; }\n  .oel-image-grid figcaption { margin-top: 8px; font-size: 14px; color: #4b5563; }\n  .oel-video { position: relative; width: 100%; aspect-ratio: 16 \/ 9; margin: 22px 0; background: #f3f5f8; border-radius: 6px; overflow: hidden; }\n  .oel-video iframe { position: absolute; inset: 0; width: 100%; height: 100%; border: 0; }\n  .oel-table { width: 100%; border-collapse: collapse; margin: 16px 0 0; }\n  .oel-table th, .oel-table td { border: 1px solid #d8e0ea; padding: 10px 12px; vertical-align: top; text-align: left; }\n  .oel-table th { background: #eef5ff; font-weight: 700; }\n  .oel-link-list a { color: #007fff; font-weight: 700; text-decoration: none; }\n  .oel-link-list a:hover { text-decoration: underline; }\n  @media (max-width: 720px) { .oel-image-grid { grid-template-columns: 1fr; } }\n\u003c\/style\u003e\n\u003cdiv class=\"oel-hiwonder\"\u003e\n\u003cp\u003e\u003cstrong\u003eHiwonder JetMax Pro Advanced Mecanum Chassis Jetson Nano ROS Kit\u003c\/strong\u003e is a mobile AI robotic arm platform that combines the JetMax vision robot arm with a Mecanum wheel chassis. It is designed for robotics classrooms, ROS learning, Python development, AI vision projects, and mobile manipulation experiments.\u003c\/p\u003e\n\u003cp\u003eThis configuration corresponds to the official \u003cstrong\u003eJetMax Advanced + Mecanum Wheel Chassis\u003c\/strong\u003e package. The robot arm provides \u003cstrong\u003e4+1 axis\u003c\/strong\u003e motion with Jetson Nano computing, while the chassis adds omnidirectional movement for mobile sorting, tracking, and automation demonstrations.\u003c\/p\u003e\n\u003cdiv class=\"oel-video\"\u003e\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/hG3GvbuhN4E\" title=\"Hiwonder JetMax Pro official video\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen\u003e\u003c\/iframe\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"oel-image-grid\"\u003e\n\u003cfigure\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/products\/1_32df5628-53b6-48c3-8f9e-d557b088cc8c.jpg?v=1669796338\" alt=\"Hiwonder JetMax Pro Advanced Mecanum Chassis Jetson Nano ROS Kit white background product image\"\u003e\u003cfigcaption\u003eJetMax Pro robot arm with Mecanum chassis\u003c\/figcaption\u003e\u003c\/figure\u003e\n\u003cfigure\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/products\/3_21837832-3277-4c87-b854-3763771c2338.jpg?v=1699328941\" alt=\"Hiwonder JetMax Pro Advanced Mecanum Chassis Jetson Nano ROS Kit AI vision project image\"\u003e\u003cfigcaption\u003eAI vision and recognition project platform\u003c\/figcaption\u003e\u003c\/figure\u003e\n\u003cfigure\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/products\/4_d26fc6d7-b838-407d-90b4-34441c2a1284.jpg?v=1699328941\" alt=\"Hiwonder JetMax Pro Advanced Mecanum Chassis Jetson Nano ROS Kit Mecanum chassis image\"\u003e\u003cfigcaption\u003eMecanum wheel chassis for omnidirectional movement\u003c\/figcaption\u003e\u003c\/figure\u003e\n\u003cfigure\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/products\/6_a936a1a2-b469-42e0-8271-f739591cccda.jpg?v=1699328941\" alt=\"Hiwonder JetMax Pro Advanced Mecanum Chassis Jetson Nano ROS Kit control method image\"\u003e\u003cfigcaption\u003eMultiple official control and development methods\u003c\/figcaption\u003e\u003c\/figure\u003e\n\u003c\/div\u003e\n\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetMax Pro mobile robot arm\u003c\/strong\u003e - Combines the JetMax AI robotic arm with a Mecanum wheel chassis for mobile manipulation experiments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Jetson Nano controller\u003c\/strong\u003e - Uses \u003cstrong\u003eJetson Nano\u003c\/strong\u003e as the main computing platform for AI vision, ROS learning, and Python development.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOmnidirectional Mecanum movement\u003c\/strong\u003e - The chassis uses four encoder geared motors and Mecanum wheels for flexible 360-degree motion.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision project base\u003c\/strong\u003e - Supports official learning projects such as target tracking, color recognition, waste sorting, mask recognition, and card recognition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4+1 axis robotic arm\u003c\/strong\u003e - The JetMax arm provides \u003cstrong\u003e4+1 axis\u003c\/strong\u003e motion for picking, sorting, stacking, drawing, and classroom demonstrations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple end effectors\u003c\/strong\u003e - Official configuration supports suction cup and gripper-based experiments for different object-handling tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS and Python workflow\u003c\/strong\u003e - Designed for robotics education with ROS, Python, OpenCV, and common robotics programming tools.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple control methods\u003c\/strong\u003e - Supports control from the JetMax panel, app, wireless handle, USB, Wi-Fi, and Ethernet connections.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExpandable teaching platform\u003c\/strong\u003e - Suitable for machine vision, motion planning, mobile robot control, and simulated industrial automation lessons.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr style=\"border: 0; border-top: 1px solid #e0e0e0; margin: 24px 0;\"\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"oel-table\"\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eValue\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct configuration\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eJetMax Advanced + Mecanum Wheel Chassis\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eController\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eNVIDIA Jetson Nano\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot arm axes\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e4+1 axis\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot arm dimensions\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e450 x 160 x 260 mm\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot arm weight\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e1.6 kg\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum payload\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e450 g\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReach\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eR104-R289 x 240 degrees\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRepeatability\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e+\/- 1 mm\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnd effector support\u003c\/td\u003e\n\u003ctd\u003eSuction cup, small gripper, big gripper\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e12 V 5 A DC adapter\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectivity\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB \/ Wi-Fi \/ Ethernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e32 GB Class 10 TF card\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming tools\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ePython \/ C \/ C++ \/ JavaScript\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMecanum chassis size\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e297 x 260 x 100 mm\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMecanum chassis weight\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e1.9 kg\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis material\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis motor\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e8 V encoder geared motor\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor no-load speed\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e110 RPM\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis working voltage\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e6-8 V\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr style=\"border: 0; border-top: 1px solid #e0e0e0; margin: 24px 0;\"\u003e\n\u003ch2\u003eReference Documents\u003c\/h2\u003e\n\u003cul class=\"oel-link-list\"\u003e\n  \u003cli\u003e\u003ca href=\"https:\/\/wiki.hiwonder.com\/projects\/JetMax\/en\/latest\/\" target=\"_blank\" rel=\"noopener\"\u003eHiwonder JetMax Wiki Documentation\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr style=\"border: 0; border-top: 1px solid #e0e0e0; margin: 24px 0;\"\u003e\n\u003ch2\u003eApplication\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI robotics education\u003c\/strong\u003e - Teach perception, control, and mobile robot coordination with one integrated platform.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS learning\u003c\/strong\u003e - Use ROS-based workflows for topic communication, robot control, and applied project training.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputer vision labs\u003c\/strong\u003e - Build experiments around object tracking, card recognition, color sorting, and target recognition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMobile manipulation\u003c\/strong\u003e - Study how an omnidirectional chassis and robotic arm coordinate for pick-and-place tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSimulated automation\u003c\/strong\u003e - Demonstrate conveyor-style sorting, material handling, and visual inspection scenarios.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePython development\u003c\/strong\u003e - Create custom motion, sensing, and vision routines with Python and OpenCV.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSTEM classrooms\u003c\/strong\u003e - Use one platform across beginner robotics lessons and advanced AI project-based learning.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr style=\"border: 0; border-top: 1px solid #e0e0e0; margin: 24px 0;\"\u003e\n\u003ch2\u003ePacking List\u003c\/h2\u003e\n\u003cp\u003eThe images below show the official packing reference for the JetMax Advanced robot arm and Mecanum wheel chassis configuration.\u003c\/p\u003e\n\u003cdiv class=\"oel-image-grid\"\u003e\n\u003cfigure\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetMax-Pro.jpg?v=1699328946\" alt=\"Hiwonder JetMax Pro Advanced Mecanum Chassis Jetson Nano ROS Kit official packing reference\"\u003e\u003cfigcaption\u003eOfficial packing reference for the Advanced + Mecanum Chassis configuration\u003c\/figcaption\u003e\u003c\/figure\u003e\n\u003cfigure\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/0c4067fd44dbc3e67968392b9babcc84.png?v=1685333502\" alt=\"Hiwonder JetMax Pro Advanced Mecanum Chassis Jetson Nano ROS Kit Mecanum chassis packing reference\"\u003e\u003cfigcaption\u003eOfficial Mecanum wheel chassis packing reference\u003c\/figcaption\u003e\u003c\/figure\u003e\n\u003c\/div\u003e\n\u003chr style=\"border: 0; border-top: 1px solid #e0e0e0; margin: 24px 0;\"\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003cstyle\u003e\n  .faq-accordion details { border-bottom: 1px solid #e6eef8; padding: 14px 0; }\n  .faq-accordion summary { list-style: none; cursor: pointer; font-size: 16px; font-weight: 700; color: #1f2933; position: relative; padding-right: 32px; }\n  .faq-accordion summary::-webkit-details-marker { display: none; }\n  .faq-accordion summary::after { content: \"\\203A\"; position: absolute; right: 4px; top: 50%; transform: translateY(-50%) rotate(90deg); color: #007fff; font-size: 28px; line-height: 1; transition: transform 0.2s ease; }\n  .faq-accordion details[open] summary::after { transform: translateY(-50%) rotate(270deg); }\n  .faq-accordion p { margin: 12px 0 0; color: #4b5563; line-height: 1.65; }\n\u003c\/style\u003e\n\u003cdiv class=\"faq-accordion\"\u003e\n\u003cdetails\u003e\u003csummary\u003eHow is this JetMax Pro version different from a standard JetMax arm?\u003c\/summary\u003e\u003cp\u003eThis configuration adds the Mecanum wheel chassis to the JetMax robotic arm platform, so it can be used for mobile manipulation and omnidirectional motion experiments.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDoes this product include the sliding rail?\u003c\/summary\u003e\u003cp\u003eNo. This listing is for the Advanced + Mecanum Wheel Chassis configuration. Sliding rail support belongs to a different JetMax Pro configuration.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat controller does the robot use?\u003c\/summary\u003e\u003cp\u003eThe official configuration uses an NVIDIA Jetson Nano controller with a 32 GB Class 10 TF card.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan it be programmed with Python?\u003c\/summary\u003e\u003cp\u003eYes. The official programming tools include Python, C, C++, and JavaScript, with Python commonly used for AI vision and robotics lessons.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDoes it support ROS?\u003c\/summary\u003e\u003cp\u003eYes. JetMax Pro is positioned as a ROS and AI vision robotics learning platform.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat movement does the Mecanum chassis support?\u003c\/summary\u003e\u003cp\u003eThe Mecanum chassis is designed for flexible omnidirectional motion using four encoder geared motors and Mecanum wheels.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat end effectors are supported?\u003c\/summary\u003e\u003cp\u003eThe official specification lists suction cup, small gripper, and big gripper support for end-effector experiments.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eIs the product suitable for classroom use?\u003c\/summary\u003e\u003cp\u003eYes. It is designed for robotics education, AI vision projects, mobile manipulation, and STEM classroom demonstrations.\u003c\/p\u003e\u003c\/details\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Hiwonder","offers":[{"title":"Default Title","offer_id":45829881299142,"sku":"Hiwonder-21010078","price":959.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/1_32df5628-53b6-48c3-8f9e-d557b088cc8c.jpg?v=1778297108","url":"https:\/\/openelab.io\/cs\/products\/hiwonder-jetmax-pro-advanced-mecanum","provider":"OpenELAB Technology Ltd.","version":"1.0","type":"link"}