{"product_id":"yahboom-muto-rs-hexapod-robot","title":"Yahboom Muto RS 18DOF ROS2 Hexapod Robot Kit with AI Large Model, LiDAR \u0026 Depth Camera for Raspberry Pi 5","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom Muto RS is a desktop-level AI large model bionic hexapod robot built on the ROS2 operating system and designed to work with Raspberry Pi (including Raspberry Pi 5 options). It uses an all-aluminum alloy body and an 18 DOF joint structure driven by 18PCS 35KG serial bus servos, and integrates sensors such as a depth camera and LiDAR plus a voice interaction module. With Python3 programming and built-in algorithms (including inverse kinematics), it supports AI visual interaction, SLAM mapping\/navigation, voice interaction, deep learning, and RViz simulation for ROS development and education.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"539\" src=\"https:\/\/www.youtube.com\/embed\/KrpEGxKDMRc\" title=\"This AI Hexapod Robot is a Problem-Solving Genius! (Raspberry Pi 5 Only)\" width=\"943\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/cMh7-MG4HcI\" title=\"18DOF Muto RS Hexapod Robot ROS2 for Raspberry Pi and NVIDIA Jetson NANO\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e18 DOF motion joints\u003c\/strong\u003e with aluminum alloy structural parts; three joints per leg; 18 high-performance servos.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e18PCS 35KG metal serial bus servos\u003c\/strong\u003e for stable, coordinated motion control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInverse kinematics algorithm precision control\u003c\/strong\u003e; supports triangular gait walking and adjustable stride frequency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotion adjustability\u003c\/strong\u003e: X\/Y translation, 360° self-rotation, body height adjustment, posture superimposition (high\/medium\/low stance walking), and adjustable walking speed (linear velocity, angular velocity, height, step height, stride length).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultimodal AI large model integration\u003c\/strong\u003e: scalable RAG knowledge base, dual-modal dynamic feedback reasoning architecture, text semantic understanding, and natural speech dialogue.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth camera + visual recognition\u003c\/strong\u003e: depth camera obstacle detection, 3D real-time mapping, depth distance measurement, and 3D point cloud recognition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR-based environmental perception\u003c\/strong\u003e: 360° omnidirectional sensing, mapping and navigation, path planning, dynamic obstacle avoidance, multi-point navigation, and road network planning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupported frameworks\/algorithms\u003c\/strong\u003e (listed): MediaPipe, OpenCV; Gmapping, Cartographer; slam_toolbox; Radar odometer RF2O; DWA path planning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual interaction functions\u003c\/strong\u003e (listed): KCF object tracking, color tracking, QR code command control, visual line tracking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVoice interactive control\u003c\/strong\u003e: voice commands can control motion state; supports functions such as color tracking, color recognition, and visual line patrol.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCross-platform control\u003c\/strong\u003e: iOS\/Android remote control app, iOS\/Android mapping navigation app, PC host computer control, and 2.4G\/USB wireless handle control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFPV real-time video transmission\u003c\/strong\u003e: connect to a local area network via mobile phone app to view real-time HD video captured by the robot.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-machine interconnection control\u003c\/strong\u003e: supports multi-robot simultaneous navigation with dynamic obstacle avoidance on the same map, and synchronous control via a single host computer.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTeaching mode\u003c\/strong\u003e: manual single-leg movement on the host robot can be mirrored by a slave robot performing the same action.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLearning resources\u003c\/strong\u003e: “200+ course examples” are referenced; accompanying ROS courses and AI large language model application examples are described (tutorial URL removed for compliance).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor pre-sales selection help or setup support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"nofollow\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eMuto RS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot type\u003c\/td\u003e\n\u003ctd\u003eAI Large Model ROS Hexapod Robot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDOF\u003c\/td\u003e\n\u003ctd\u003e18 DOF joint\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBody material\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy (all-aluminum alloy body referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServos\u003c\/td\u003e\n\u003ctd\u003e18PCS 35KG serial bus servos (metal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system \/ development\u003c\/td\u003e\n\u003ctd\u003eROS2; Python3; supports RViz simulation; docker container development (referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensors \/ modules (referenced)\u003c\/td\u003e\n\u003ctd\u003eDepth camera; LiDAR; voice interaction module; high-capacity battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera (listed)\u003c\/td\u003e\n\u003ctd\u003eAstra Pro Plus Depth Camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eConfiguration Differences (as listed)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eUltimate kit [A1 Lidar]\u003c\/th\u003e\n\u003cth\u003eUltimate kit [4ROS Lidar]\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptional main controller\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB–16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNote (listed)\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eIf choosing a version without board, prepare a Raspberry Pi 5 with at least 8GB RAM.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice module\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eDefault configuration: AI large model voice module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eAstra Pro Plus Depth Camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR\u003c\/td\u003e\n\u003ctd\u003eSLAM A1\u003c\/td\u003e\n\u003ctd\u003eEAI YDLIDAR 4ROS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 (information shown)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM (shown)\u003c\/td\u003e\n\u003ctd\u003e8GB RAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputing power (shown)\u003c\/td\u003e\n\u003ctd\u003eApprox 500GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU (shown)\u003c\/td\u003e\n\u003ctd\u003eBroadcom Videocore VII\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU (shown)\u003c\/td\u003e\n\u003ctd\u003e64 bit 2.4GHz Quad-core\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePerformance statement (shown)\u003c\/td\u003e\n\u003ctd\u003e2–3 times the performance of Raspberry Pi 4B (as stated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 learning and development for multi-legged (hexapod) locomotion and inverse kinematics.\u003c\/li\u003e\n\u003cli\u003eSLAM mapping\/navigation experiments: single-point and multi-point navigation, road network planning, and dynamic obstacle avoidance.\u003c\/li\u003e\n\u003cli\u003eComputer vision and perception projects using depth camera and AI visual recognition (OpenCV \/ MediaPipe referenced).\u003c\/li\u003e\n\u003cli\u003eVoice interaction and multimodal large-model demonstrations (text\/voice\/visual integration referenced).\u003c\/li\u003e\n\u003cli\u003eMulti-robot synchronization control and multi-robot navigation (multi-machine interconnection control referenced).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eTutorial resources are referenced for this product (manufacturer study page mentioned in source; external URL removed for compliance).\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Muto RS 18DOF ROS2 hexapod robot on desktop, aluminum body with depth camera and Raspberry Pi mount\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for.jpg?v=1782067233\"\u003e\u003cp\u003eBuilt on ROS2 for Raspberry Pi, Muto RS brings 18-DOF hexapod mobility together with AI perception for desktop robotics learning.\u003c\/p\u003e\n\u003cimg alt=\"Product overview infographic for Muto RS: multimodal AI, SLAM navigation, LiDAR and depth camera functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_a810fb64-65f2-4d60-a407-dee1a25bec4c.jpg?v=1782067241\"\u003e\u003cp\u003eFrom SLAM mapping and navigation to vision and voice interaction, the platform is designed as an all-in-one ROS2 development kit.\u003c\/p\u003e\n\u003cimg alt=\"Reasons-to-choose infographic highlighting multimodal AI large model, road network planning, and hardware configuration\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_6257d3b6-9d8a-43c5-842f-7a8a40546b9e.jpg?v=1782067246\"\u003e\u003cp\u003eMultimodal AI workflows pair with road-network planning concepts to support research demos and classroom instruction.\u003c\/p\u003e\n\u003cimg alt=\"Configuration comparison chart plus Raspberry Pi 5 performance panel for the Muto RS hexapod robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_3c0f14ea-dc8b-455a-acbb-a03de85fe9fa.jpg?v=1782067252\"\u003e\u003cp\u003eChoose a configuration that matches your controller and sensor needs, with options centered on Raspberry Pi compute.\u003c\/p\u003e\n\u003cimg alt=\"AI large model deployment panel: LLM text generation, voice interaction module, and visual model recognition examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_ab6e863f-391a-4947-a8f7-9ea9db31c499.jpg?v=1782067259\"\u003e\u003cp\u003eText, voice, and vision models can be integrated to build embodied intelligence behaviors in Python and ROS2.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model applications poster showing motion control, spatial depth Q\u0026amp;A, visual tracking, and navigation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_394407dc-1fe4-4bef-a548-4474c88a3726.jpg?v=1782067265\"\u003e\u003cp\u003eUse high-level commands for movement, perception Q\u0026amp;A, target tracking, and autonomous navigation tasks.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence SLAM navigation panel with environment perception, multipoint navigation, and object search\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_418d0fa8-fcae-471f-b6cb-e05460695c95.jpg?v=1782067272\"\u003e\u003cp\u003eSLAM-based perception supports multi-point navigation and target search behaviors across mapped environments.\u003c\/p\u003e\n\u003cimg alt=\"Advanced embodied intelligence applications: intent inference, action imitation, and problem-solving gameplay demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_8a34af6a-e150-4415-9e5f-1abef12806d7.jpg?v=1782067279\"\u003e\u003cp\u003eHigher-level interaction demos include intent understanding, imitation learning behaviors, and environment exploration.\u003c\/p\u003e\n\u003cimg alt=\"ROS functions introduction for LiDAR and depth camera: mapping, navigation, point cloud, and obstacle recognition\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_808900cd-1722-48c9-b5b1-a4728ef77594.jpg?v=1782067285\"\u003e\u003cp\u003eBuilt-in ROS2 packages connect LiDAR and depth camera data for mapping, point clouds, and obstacle awareness.\u003c\/p\u003e\n\u003cimg alt=\"Visual and voice interaction functions: KCF tracking, color tracking, QR control, line following, and multi-robot control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_5076f664-4fb5-4950-9a12-ee1f8c5c7bd0.jpg?v=1782067292\"\u003e\u003cp\u003eVision algorithms and voice commands add hands-free control, with support for multi-robot coordination features.\u003c\/p\u003e\n\u003cimg alt=\"Teaching mode and 18 DOF motion joints diagram showing three joints per leg and coordinated servo movement\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_88a145ef-eb97-4240-b06c-38883a682a73.jpg?v=1782067298\"\u003e\u003cp\u003eTeaching mode and a full 18-DOF joint layout make it easier to demonstrate gaits and coordinated leg motion.\u003c\/p\u003e\n\u003cimg alt=\"Inverse kinematics precision control panel with triangular gait options and multi-directional movement diagrams\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_674f3721-109f-44f1-99b9-427139872f74.jpg?v=1782067304\"\u003e\u003cp\u003eInverse kinematics and gait planning help translate posture and stride settings into stable hexapod motion.\u003c\/p\u003e\n\u003cimg alt=\"Body height adjustment and posture superimposition: high\/medium\/low stance walking plus speed adjustment panels\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_dfe27948-198f-43fd-80cd-31b5e0c7f741.jpg?v=1782067310\"\u003e\u003cp\u003eAdjust body height, stance, and walking speed to match different surfaces, demos, and navigation scenarios.\u003c\/p\u003e\n\u003cimg alt=\"FPV real-time video transmission and bionic action mimicry examples such as twist, squat, spin, and gestures\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_21588891-13b7-44b4-9b8b-5740ae6db723.jpg?v=1782067317\"\u003e\u003cp\u003eFPV video and action-mimic behaviors make demos more interactive for labs, clubs, and presentations.\u003c\/p\u003e\n\u003cimg alt=\"Python programming and cross-platform control options: mobile apps, PC host control, and wireless controller\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_b66d09b2-82c3-481f-bec6-a29009721b07.jpg?v=1782067324\"\u003e\u003cp\u003eProgram in Python and control the robot from mobile apps, a PC host, or a wireless handle depending on your setup.\u003c\/p\u003e\n\u003cimg alt=\"RViz simulation support and ROS robot operating system panel with ROS2 Humble badge and interface screenshots\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Muto-RS-18DOF-ROS2-Hexapod-Robot.webp?v=1782067857\"\u003e\u003cp\u003eDevelop and test in RViz simulation, then deploy to the ROS2 stack for repeatable robotics experiments.\u003c\/p\u003e\n\u003cimg alt=\"Muto RS course catalog screenshot listing training modules and project topics for ROS2 and AI functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_877c0483-c73c-40a9-95e7-cc0ac24b4fa1.jpg?v=1782067362\"\u003e\u003cimg alt=\"Open source code and tutorial folders layout covering AI large model basics, development, voice, and fun apps\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_1e83160f-2c57-4c37-98e0-9e2a5955540a.jpg?v=1782067368\"\u003e\u003cimg alt=\"Course outline for Yahboom Muto RS ROS2 hexapod robot, listing AI Vision, Mediapipe, navigation, and ROS2 tutorials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_f96a0c09-ec4f-4921-82da-9061d394ed2d.jpg?v=1782067374\"\u003e\u003cp\u003eYahboom Muto RS ROS2 learning materials cover AI vision, Mediapipe, road network navigation, and ROS2 basics video tutorials.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom Muto RS ROS2 hexapod robot showing lidar, depth camera, Raspberry Pi, battery, and bus servos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_ab878379-fc7c-43ed-b462-1ac9d90283fe.jpg?v=1782067380\"\u003e\u003cp\u003eThe Muto RS hexapod uses a modular stack with components like lidar, a depth camera, Raspberry Pi controller, and serial bus servos for coordinated leg motion.\u003c\/p\u003e\n\u003cimg alt=\"Orbbec Astra Pro Plus depth camera and 2D LiDAR SLAM sensor modules for a ROS2 hexapod robot setup\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_23944fa8-470c-4a67-b952-f1529a3e786d.jpg?v=1782067386\"\u003e\u003cp\u003eOrbbec Astra Pro Plus depth sensing and a 2D LiDAR SLAM module provide depth and mapping inputs for ROS2 robotics projects.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Muto RS hexapod kit parts: AI voice module board with speaker and 7.4V 9900mAh lithium battery pack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_f2344a53-abf8-4951-aa89-fbd5c498ea54.jpg?v=1782067393\"\u003e\u003cp\u003eThe kit includes an AI voice module with a wired speaker plus a 7.4V 9900mAh lithium battery pack for onboard power.\u003c\/p\u003e\n\u003cimg alt=\"Dimension diagram in mm for Yahboom Muto RS ROS2 hexapod robot, showing top, front, side and bottom views\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_029ed702-0f0e-400d-88c1-38f3ef7227d1.jpg?v=1782067399\"\u003e\u003cp\u003eThe Yahboom Muto RS ROS2 hexapod includes a multi-view mm dimension reference to help plan mounting clearance and placement.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom Muto RS ROS2 hexapod kit, showing chassis, Raspberry Pi 5 option, lidar, camera and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_d4e5593f-6d71-4d92-a857-4504f774f410.jpg?v=1782067405\"\u003e\u003cp\u003eThe package list includes the assembled MUTO robot chassis plus optional add-ons like a Raspberry Pi 5, SLAM Lidar, and depth camera, along with power and audio accessories.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without \/ 4ROS Lidar Kit","offer_id":53126156648672,"sku":"3000200944-1","price":1073.88,"currency_code":"USD","in_stock":true},{"title":"Without \/ A1 Lidar Kit","offer_id":53126156681440,"sku":"3000200944-2","price":1056.33,"currency_code":"USD","in_stock":true},{"title":"With Pi5 8GB \/ 4ROS Lidar Kit","offer_id":53126156714208,"sku":"3000200944-3","price":1459.98,"currency_code":"USD","in_stock":true},{"title":"With Pi5 8GB \/ A1 Lidar Kit","offer_id":53126156746976,"sku":"3000200944-4","price":1442.43,"currency_code":"USD","in_stock":true},{"title":"With Pi5 16GB \/ 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