{"product_id":"unitree-r1a5d-smart-ultimate-b-humanoid-robot","title":"Unitree R1-A5-D Smart Ultimate B Humanoid Robot","description":"\u003cdiv style=\"max-width: 960px; margin: 0 auto; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif; line-height: 1.7; color: #1a1a1a;\"\u003e\n\u003c!-- HERO --\u003e\n\u003cdiv style=\"text-align: center; margin-bottom: 56px; padding: 48px 24px; background: linear-gradient(135deg, #0f172a 0%, #1e293b 100%); border-radius: 20px; color: #fff;\"\u003e\n\u003cdiv style=\"display: inline-block; background: rgba(255,255,255,0.1); backdrop-filter: blur(10px); padding: 6px 16px; border-radius: 999px; font-size: 12px; font-weight: 600; letter-spacing: 0.8px; text-transform: uppercase; margin-bottom: 20px; color: #38bdf8;\"\u003eUnitree Robotics — Ultimate Series\u003c\/div\u003e\n\u003ch1 style=\"font-size: 36px; font-weight: 800; letter-spacing: -0.8px; margin-bottom: 16px; color: #fff;\"\u003eUnitree R1-A5-D Ultimate B\u003c\/h1\u003e\n\u003cp style=\"font-size: 18px; color: #94a3b8; max-width: 680px; margin: 0 auto; line-height: 1.6;\"\u003eMobile-Base Dual-Arm Humanoid Robot with Dex3-1 3-Finger Dexterous Hands \u0026amp; Wrist RGB Cameras. 16 DOF, Orin NX 100 TOPS, 16 GB RAM, dual DLA cores, MID360 LiDAR, stereo vision \u0026amp; full-stack open SDK. For advanced visual mobile manipulation research.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- GALLERY: MAIN PRODUCT SHOT --\u003e\n\u003cdiv style=\"margin-bottom: 56px; border-radius: 16px; overflow: hidden; box-shadow: 0 20px 60px rgba(0,0,0,0.15);\"\u003e\n\u003cimg style=\"width: 100%; height: auto; display: block; object-fit: contain;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/unitree-r1-a5-d-main.jpg?v=1784929743\" alt=\"Unitree R1-A5-D Ultimate B mobile-base dual-arm humanoid robot with Dex1-1 V2 parallel grippers\"\u003e\n\u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic;\"\u003eR1-A5-D Ultimate B — mobile-base humanoid with Dex3-1 three-finger hands, wrist RGB cameras, MID360 LiDAR \u0026amp; stereo vision\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- KEY SPECS --\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); gap: 16px; margin-bottom: 56px;\"\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 32px; font-weight: 800; color: #0ea5e9;\"\u003e16\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eTotal DOF\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 32px; font-weight: 800; color: #0ea5e9;\"\u003e5+5\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eArm DOF\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 32px; font-weight: 800; color: #0ea5e9;\"\u003e60\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eNm Torque\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 32px; font-weight: 800; color: #0ea5e9;\"\u003e~2\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003ekg Payload\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 32px; font-weight: 800; color: #0ea5e9;\"\u003e100\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eTOPS AI\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: WHAT'S INCLUDED --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e What's in This Configuration\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eR1-A5-D Ultimate B\u003c\/strong\u003e upgrades from the entry-level Ultimate A with \u003cstrong\u003eDex3-1 three-finger dexterous hands\u003c\/strong\u003e and \u003cstrong\u003ewrist-mounted RGB cameras\u003c\/strong\u003e — while retaining the same \u003cstrong\u003eNVIDIA Jetson Orin NX 100 TOPS\u003c\/strong\u003e compute module with \u003cstrong\u003e16 GB LPDDR5\u003c\/strong\u003e and \u003cstrong\u003edual DLA cores\u003c\/strong\u003e. The Dex3-1 hands add an independent opposing thumb to the two-finger architecture, enabling tripod grasps, in-hand prehension, and dexterous manipulation of irregular objects while navigating. Wrist cameras provide close-up visual feedback for grasp verification and visual servoing. This is the configuration for researchers who need dexterity beyond parallel grippers with compute headroom for advanced perception and learning.\u003c\/p\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); gap: 16px; margin-bottom: 48px;\"\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ R1-A5-D Mobile Base Body\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eFull upper-body humanoid on a wheeled autonomous chassis: dual 5-DOF arms, 1-DOF waist, 2-DOF head, 1-DOF pillar, 2-DOF base. 683×520×440 mm collapsed, ~30 kg with battery.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Dex3-1 3-Finger Dexterous Hands\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eThree-finger dexterous hands with independent opposing thumb for tripod grasps, in-hand prehension, and manipulation of irregular objects on a mobile platform.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Wrist RGB Cameras\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDedicated RGB cameras mounted on each wrist for close-up visual feedback, pose estimation, and grasp verification during navigation and manipulation.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ MID360 LiDAR\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003e360° surround LiDAR integrated into the mobile chassis for real-time SLAM, obstacle avoidance, and autonomous navigation.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Orin NX 100 TOPS\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eBuilt-in NVIDIA Jetson Orin NX with 8-core CPU, 16 GB LPDDR5, and dual DLA cores — delivering 100 TOPS for visual-LiDAR fusion, navigation, and manipulation planning with room to grow.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: DEX3-1 --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Dex3-1 — Three-Finger Dexterity\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe Dex3-1 is a \u003cstrong\u003ethree-finger dexterous hand\u003c\/strong\u003e that adds an independent opposing thumb to the two-finger architecture. This third degree of freedom unlocks \u003cstrong\u003etripod grasps\u003c\/strong\u003e for spherical objects, \u003cstrong\u003ein-hand prehension\u003c\/strong\u003e for reorienting items without setting them down, and \u003cstrong\u003edexterous manipulation\u003c\/strong\u003e of irregular shapes that defy parallel-jaw grasping. Each finger is independently actuated with position and velocity control, enabling adaptive force distribution across three contact points. On a mobile platform, this means the robot can pick up a ball, rotate it to align a connector, and insert it — all while navigating between workstations. With the Orin NX 100 TOPS, the Dex3-1 hands can run learned grasp policies, visual servoing, and tactile feedback loops that would be impossible on lesser compute.\u003c\/p\u003e\n\u003cdiv style=\"margin-bottom: 56px; border-radius: 16px; overflow: hidden; box-shadow: 0 12px 40px rgba(0,0,0,0.08); background: #f8fafc;\"\u003e\n\u003cimg style=\"width: 100%; height: auto; display: block; object-fit: contain;\" alt=\"Unitree R1-A5-D Ultimate B with Dex3-1 three-finger dexterous hands and wrist RGB cameras\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/R1-A5-D-work.jpg?v=1785177746\"\u003e\n\u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic; padding-bottom: 12px;\"\u003eDex3-1 three-finger dexterous hands with wrist RGB cameras on the R1-A5-D mobile base\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: WRIST CAMERAS --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Wrist-Mounted RGB Cameras — See From the Gripper\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUltimate B adds \u003cstrong\u003ededicated RGB cameras\u003c\/strong\u003e to each wrist — providing a close-up view of the grasp target that the head-mounted binocular camera cannot match. These wrist cameras enable \u003cstrong\u003evisual servoing\u003c\/strong\u003e for precise alignment during approach, \u003cstrong\u003egrasp verification\u003c\/strong\u003e to confirm a stable hold before lifting, and \u003cstrong\u003ein-hand tracking\u003c\/strong\u003e to monitor object pose during transport. Combined with the head stereo camera and MID360 LiDAR, the robot builds a multi-scale perception stack: LiDAR for global navigation, head camera for scene understanding, and wrist cameras for manipulation detail. The Orin NX 100 TOPS processes all three streams concurrently, with DLA cores handling vision networks while the GPU fuses multi-camera data for closed-loop control.\u003c\/p\u003e\n\u003c!-- FEATURE: VISION-LIDAR-WRIST FUSION --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Vision-LiDAR-Wrist Fusion — Three-Scale Perception\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUltimate B processes synchronized streams from \u003cstrong\u003ethree sensor modalities\u003c\/strong\u003e on the Orin NX 100 TOPS: close-up RGB from wrist cameras, scene-level depth from the head binocular camera, and 360° point clouds from the MID360 LiDAR. The \u003cstrong\u003edual DLA cores\u003c\/strong\u003e run wrist-camera object detection and head-camera segmentation in parallel while the GPU handles LiDAR SLAM and multi-camera fusion — no resource contention even under full load. With 16 GB RAM, the system can hold multiple perception models in memory: a wrist-camera grasp detector, a head-camera scene parser, a LiDAR localization network, and a multi-modal fusion policy — all running concurrently. This three-scale perception enables research in visual mobile manipulation, active perception, dexterous grasping on the move, and embodied AI with rich sensory feedback.\u003c\/p\u003e\n\u003c!-- FEATURE: MOBILE BASE --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Autonomous Mobile Base — Navigate, Then Manipulate\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe R1-A5-D chassis adds \u003cstrong\u003e3 degrees of freedom\u003c\/strong\u003e to the upper body: a telescopic pillar for height adjustment and a 2-DOF wheeled base for omnidirectional navigation. Combined with the \u003cstrong\u003eMID360 LiDAR\u003c\/strong\u003e and \u003cstrong\u003estereo camera head\u003c\/strong\u003e, the robot builds real-time maps, plans paths, and avoids obstacles autonomously — then stops precisely to manipulate. The removable lithium-ion battery in the chassis delivers approximately \u003cstrong\u003e1.5 hours\u003c\/strong\u003e of untethered operation.\u003c\/p\u003e\n\u003c!-- FEATURE: ORIN NX --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Orin NX 100 TOPS — Flagship Compute for Entry-Level Manipulation\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe built-in \u003cstrong\u003eNVIDIA Jetson Orin NX\u003c\/strong\u003e delivers \u003cstrong\u003e100 TOPS\u003c\/strong\u003e of AI compute across an \u003cstrong\u003e8-core CPU\u003c\/strong\u003e, \u003cstrong\u003e16 GB LPDDR5\u003c\/strong\u003e, and \u003cstrong\u003edual NVDLA V2.0 accelerators\u003c\/strong\u003e. With three-finger dexterous hands and wrist cameras, this compute headroom enables advanced visual mobile manipulation: run real-time SLAM with MID360 LiDAR, process stereo depth and wrist-camera streams simultaneously, deploy learned grasp policies for tripod and precision grasps, and experiment with active perception and multi-robot coordination — all at once. The dedicated DLA cores offload vision networks from the GPU, leaving GPU resources free for sensor fusion, grasp planning, and dexterous control. The 16 GB RAM provides space for large models that would not fit on an 8 GB module. No external GPU server, no cloud dependency — just power on and deploy.\u003c\/p\u003e\n\u003c!-- FEATURE: VISION --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Binocular Vision \u0026amp; Scene Perception\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eA binocular camera head delivers a 146° × 124° field of view with a 60 mm stereo baseline for scene-level understanding. RGB streams at 1280×720@30 Hz and depth at 544×448@10 Hz. Combined with the MID360 LiDAR and wrist-mounted RGB cameras on each Dex3-1 hand, the R1-A5-D Ultimate B offers a \u003cstrong\u003ethree-scale perception stack\u003c\/strong\u003e for visual mobile manipulation research — with the Orin NX 100 TOPS processing all streams concurrently via DLA-accelerated vision networks.\u003c\/p\u003e\n\u003c!-- FEATURE: VOICE --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Voice Collaboration \u0026amp; Natural Interaction\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eFour-array beamforming microphones and dual 3 W speakers enable clear voice capture and synthesis in noisy labs, warehouses, or classrooms. The open audio framework supports custom wake words, multilingual TTS, and integration with LLMs for conversational command-and-control — even while the base is in motion.\u003c\/p\u003e\n\u003c!-- FEATURE: COMPACT --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Collapsible. Mobile. Ready to Deploy.\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eAt \u003cstrong\u003e683 × 520 × 440 mm collapsed\u003c\/strong\u003e (1323 mm elevated), the R1-A5-D Ultimate B navigates standard doorways, elevators, and lab aisles. The telescopic pillar lowers the upper body for transport and raises it for manipulation. At approximately \u003cstrong\u003e30 kg with battery\u003c\/strong\u003e, it is a self-contained mobile research platform — no external compute rack, no tether cables during operation.\u003c\/p\u003e\n\u003cdiv style=\"margin-bottom: 56px; border-radius: 16px; overflow: hidden; box-shadow: 0 12px 40px rgba(0,0,0,0.08); background: #f8fafc;\"\u003e\n\u003cimg style=\"width: 100%; height: auto; display: block; object-fit: contain;\" alt=\"Unitree R1-A5-D mobile base with collapsed and elevated configurations\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/R1-A5-D-work2.jpg?v=1785178597\"\u003e\n\u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; margin-bottom: 12px; font-style: italic;\"\u003eCollapsed (683 mm) and elevated (1323 mm) configurations for navigation and manipulation\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: OPEN SDK --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Full-Stack Open Development\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUnitree provides a mature, Linux-based robot development framework with open APIs for the underlying system, robotic arms, mobile base, audio, lighting, and visual control. ROS 2 native support, dual encoders on every arm joint, and hollow internal wiring make the R1-A5-D Ultimate B a clean slate for reinforcement learning, dexterous mobile manipulation research, embodied AI, and active perception studies. The built-in \u003cstrong\u003eOrin NX 100 TOPS\u003c\/strong\u003e with dual DLA cores and 16 GB RAM handles multi-camera perception, grasp planning, and dexterous control locally — with compute headroom to grow into tactile sensing, larger models, and multi-robot coordination without hardware limits.\u003c\/p\u003e\n\u003c!-- UPGRADE PATH --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Upgrade Path — Grow With Your Research\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUltimate B is the entry point with flagship compute already installed. The Orin NX 100 TOPS, 16 GB RAM, and dual DLA cores provide headroom to grow:\u003c\/p\u003e\n\u003cul style=\"color: #475569; line-height: 2; padding-left: 22px; margin-bottom: 48px; font-size: 15px;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnd Effectors\u003c\/strong\u003e — Upgrade to Dex3-1, BrainCo Revo 2, LinkerBot O6, or tendon-driven hands as your manipulation needs evolve. The compute is already ready.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWrist Cameras\u003c\/strong\u003e — Add RGB cameras to the grippers for close-up visual feedback and grasp verification.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTactile Sensing\u003c\/strong\u003e — Integrate force-sensitive fingertips for contact-aware grasping.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLarge Vision-Language Models\u003c\/strong\u003e — Run VLA policies and multi-modal foundation models locally without quantization.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- APPLICATIONS --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 20px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Designed For\u003c\/h2\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 16px; margin-bottom: 56px;\"\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border-left: 4px solid #0ea5e9;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eVisual Mobile Manipulation\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDexterous grasping with three-finger hands and wrist-camera visual servoing while navigating between workstations.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border-left: 4px solid #0ea5e9;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eDexterous Grasping on the Move\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eTripod grasps, in-hand prehension, and adaptive force distribution for irregular objects during mobile manipulation.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border-left: 4px solid #0ea5e9;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eActive Perception\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eMulti-camera visual exploration, grasp pose estimation, and sensorimotor learning with three-scale perception.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border-left: 4px solid #0ea5e9;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eEmbodied AI \u0026amp; Multi-Robot Coordination\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eRL and imitation learning with compute headroom for large models, VLA policies, and distributed fleet perception.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- SPECS TABLE --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 20px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Technical Specifications\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: separate; border-spacing: 0; font-size: 14px; color: #334155; margin-bottom: 56px; border-radius: 12px; overflow: hidden; border: 1px solid #e2e8f0;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background: #f1f5f9;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600; width: 42%;\"\u003eModel\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eUnitree R1-A5-D Ultimate B (Mobile Base)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eDimensions (Collapsed)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e683 × 520 × 440 mm (H × W × D)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eDimensions (Elevated)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e1323 × 520 × 440 mm (H × W × D)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eWeight (with Battery)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e~30 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eTotal DOF\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e16 (Arm 5×2, Waist 1, Head 2, Pillar 1, Base 2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eArm Reach\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e420 mm (forearm + upper arm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003ePeak Shoulder Torque\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e60 Nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eMax Arm Payload\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e~2 kg (posture-dependent)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eEnd-Effector Precision\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e±0.1 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eEnd Effectors\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eDex3-1 3-finger dexterous hands with wrist RGB cameras (both arms, pre-installed)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eWrist Cameras\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eRGB camera integrated into each Dex3-1 hand for close-up visual feedback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eTactile Sensing\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eNot included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eVision\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eBinocular camera — RGB 1280×720@30 Hz, Depth 544×448@10 Hz, FOV 146°×124°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eLiDAR\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eMID360 360° LiDAR (chassis-integrated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eHead Compute\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e8-core high-performance CPU + 10 TOPS NPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eBody Compute\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e8-core high-performance CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eOnboard AI Compute\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eNVIDIA Jetson Orin NX 100 TOPS, 8-core CPU, 16 GB LPDDR5, 2× NVDLA V2.0 (built-in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eAudio\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e4-array microphone + dual 3 W speakers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eConnectivity\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eWi-Fi 6, Bluetooth 5.2, OTA updates\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003ePower\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eRemovable chassis Li-ion battery (~1.5 h) + external DC PSU. Upper body does not accept a battery.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eSDK \u0026amp; Interfaces\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eLinux-based framework, ROS 2, open APIs for arm\/base\/audio\/vision\/lighting, CUDA \u0026amp; TensorRT support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eControllers\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eStandard dual-hand controllers included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; font-weight: 600;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px;\"\u003e12 months on the entire unit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c!-- WHAT'S IN THE BOX --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 20px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e What's in the Box\u003c\/h2\u003e\n\u003cul style=\"color: #475569; line-height: 2; padding-left: 22px; margin-bottom: 56px; font-size: 15px;\"\u003e\n\u003cli\u003eUnitree R1-A5-D Ultimate B Humanoid Robot (mobile base)\u003c\/li\u003e\n\u003cli\u003eDex3-1 3-finger dexterous hands with wrist RGB cameras (pre-installed, both arms)\u003c\/li\u003e\n\u003cli\u003eNVIDIA Jetson Orin NX 100 TOPS compute module with 16 GB RAM \u0026amp; dual DLA cores (pre-installed)\u003c\/li\u003e\n\u003cli\u003eRemovable chassis lithium-ion battery pack\u003c\/li\u003e\n\u003cli\u003eExternal power supply \u0026amp; AC cable\u003c\/li\u003e\n\u003cli\u003eMID360 LiDAR module (pre-installed in chassis)\u003c\/li\u003e\n\u003cli\u003eBinocular vision head module (pre-installed)\u003c\/li\u003e\n\u003cli\u003e4-array microphone + dual speaker module (pre-installed)\u003c\/li\u003e\n\u003cli\u003eStandard dual-hand remote controllers\u003c\/li\u003e\n\u003cli\u003eQuick-start guide \u0026amp; safety manual\u003c\/li\u003e\n\u003cli\u003eSecondary development documentation access\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- COMPARE CONFIGURATIONS --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 20px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e R1-A5-D Configuration Guide\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eEvery configuration shares the same R1-A5-D mobile base — the difference is the end effector and compute module. Choose the one that matches your research goals:\u003c\/p\u003e\n\u003ctable style=\"width: 100%; border-collapse: separate; border-spacing: 0; font-size: 13px; color: #334155; margin-bottom: 56px; border-radius: 12px; overflow: hidden; border: 1px solid #e2e8f0;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background: #0f172a; color: #fff;\"\u003e\n\u003cth style=\"padding: 12px 14px; text-align: left; font-weight: 600; width: 15.3791%;\"\u003eConfig\u003c\/th\u003e\n\u003cth style=\"padding: 12px 14px; text-align: left; font-weight: 600; width: 23.2475%;\"\u003eHand\u003c\/th\u003e\n\u003cth style=\"padding: 12px 14px; text-align: left; font-weight: 600; width: 21.1016%;\"\u003eCompute\u003c\/th\u003e\n\u003cth style=\"padding: 12px 14px; text-align: left; font-weight: 600; width: 40.4149%;\"\u003eFeatures\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background: #f1f5f9;\"\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); font-weight: bold; color: rgb(14, 165, 233); width: 15.3791%;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eUltimate A\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 23.2475%;\"\u003eDex1-1 V2\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 21.1016%;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 40.4149%;\"\u003eEntry-level parallel grippers, MID360 LiDAR, flagship compute\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f1f5f9;\"\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); font-weight: bold; color: rgb(14, 165, 233); width: 15.3791%;\"\u003eUltimate B\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 23.2475%;\"\u003eDex3-1 (RGB)\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 21.1016%;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 40.4149%;\"\u003e3-finger dexterous hand with wrist RGB camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); font-weight: 600; width: 15.3791%;\"\u003eUltimate C\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 23.2475%;\"\u003eDex3-1 Tactile (RGB)\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 21.1016%;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 40.4149%;\"\u003e3-finger hand with tactile sensors + wrist RGB camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); font-weight: 600; width: 15.3791%;\"\u003eUltimate D\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 23.2475%;\"\u003eBrainCo Revo 2 Basic (RGB)\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 21.1016%;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 40.4149%;\"\u003e5-finger anthropomorphic hand with wrist RGB camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); font-weight: 600; width: 15.3791%;\"\u003eUltimate E\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 23.2475%;\"\u003eBrainCo Revo 2 Tactile (RGB)\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 21.1016%;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 40.4149%;\"\u003e5-finger hand with tactile sensors + wrist RGB camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); font-weight: 600; width: 15.3791%;\"\u003eUltimate F\u003c\/td\u003e\n\u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid rgb(226, 232, 240); width: 23.2475%;\"\u003eLinkerBot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"Unitree","offers":[{"title":"Default Title","offer_id":50061916471573,"sku":"R1-A5-D-Smart-Ultimate-B","price":21890.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/unitree-r1-a5-d-main.jpg?v=1784929743","url":"https:\/\/futurology.tech\/products\/unitree-r1a5d-smart-ultimate-b-humanoid-robot","provider":"Futurology Tech","version":"1.0","type":"link"}