{"product_id":"unitree-r1a5d-smart-ultimate-f-humanoid-robot","title":"Unitree R1-A5-D Smart Ultimate F 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\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 F\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 LinkerBot O6 Six-DOF 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 high-DOF mobile manipulation research.\u003c\/p\u003e\n  \u003c\/div\u003e\n\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 F mobile-base dual-arm humanoid robot with LinkerBot O6 six-DOF dexterous hands and wrist RGB cameras\"\u003e\n    \u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic;\"\u003eR1-A5-D Ultimate F — mobile-base humanoid with LinkerBot O6 dexterous hands, wrist RGB cameras, MID360 LiDAR \u0026amp; stereo vision\u003c\/p\u003e\n  \u003c\/div\u003e\n\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\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\n    What's in This Configuration\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eR1-A5-D Ultimate F\u003c\/strong\u003e is built for researchers who need \u003cstrong\u003ehigh-DOF dexterous manipulation\u003c\/strong\u003e on a mobile platform. It pairs the same \u003cstrong\u003eR1-A5-D mobile base\u003c\/strong\u003e with \u003cstrong\u003eLinkerBot O6 six-DOF dexterous hands\u003c\/strong\u003e and \u003cstrong\u003ewrist-mounted RGB cameras\u003c\/strong\u003e — all driven by the \u003cstrong\u003eNVIDIA Jetson Orin NX 100 TOPS\u003c\/strong\u003e compute module. Unlike the Smart series, Ultimate F runs on an \u003cstrong\u003e8-core CPU\u003c\/strong\u003e with \u003cstrong\u003e16 GB LPDDR5\u003c\/strong\u003e and \u003cstrong\u003edual DLA cores\u003c\/strong\u003e — delivering 2.5× the AI performance and enough memory headroom for large-model inference, multi-modal sensor fusion, and real-time control of complex hand kinematics. The LinkerBot O6 hands provide five-finger dexterous grasping with 6 active degrees of freedom and 130 N grip force — enabling in-hand manipulation, precision grasping, and adaptive contact on the move.\u003c\/p\u003e\n\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: 700; 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: 700; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ LinkerBot O6 Six-DOF Dexterous Hands\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eFive-finger dexterous hands with 6 active DOF + 5 passive joints, worm-gear transmission, 130 N max grip force, 370 g per hand. Pre-installed on both arms for adaptive grasping and in-hand 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: 700; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Wrist-Mounted RGB Cameras\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eRGB cameras integrated into each wrist for close-up visual feedback, grasp verification, and hand-eye coordination during mobile 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: 700; 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-wrist fusion, dexterous grasp planning, and real-time hand control with room to grow.\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FEATURE: LINKERBOT O6 --\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\n    LinkerBot O6 — Six-DOF Dexterity for Mobile Manipulation\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eLinkerBot O6\u003c\/strong\u003e is a \u003cstrong\u003efive-finger dexterous hand\u003c\/strong\u003e with \u003cstrong\u003e6 active degrees of freedom\u003c\/strong\u003e distributed across 11 joints (6 active + 5 passive). Its \u003cstrong\u003eworm-gear transmission\u003c\/strong\u003e delivers high torque density and holding stiffness — critical for mobile platforms where vibrations and accelerations would challenge weaker mechanisms. Each hand weighs only \u003cstrong\u003e370 g\u003c\/strong\u003e, minimizing payload burden on the R1-A5-D arms while delivering \u003cstrong\u003e130 N maximum five-finger grip force\u003c\/strong\u003e. The thumb generates 28 N tip force and the four fingers 33 N combined — enough for robust grasping of irregular, deformable, and delicate objects. With \u003cstrong\u003e±0.2 mm repeat positioning accuracy\u003c\/strong\u003e, the O6 enables precision tasks like tool insertion, connector mating, and in-hand reorientation. The passive joints provide adaptive compliance during contact, letting the hand conform to object geometry without explicit sensing — a key advantage for unstructured mobile environments.\u003c\/p\u003e\n\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 F with LinkerBot O6 dexterous hands\" 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;\"\u003eLinkerBot O6 six-DOF dexterous hands on the R1-A5-D mobile base for adaptive mobile grasping\u003c\/p\u003e\n  \u003c\/div\u003e\n\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\n    Wrist-Mounted RGB Cameras — See From the Gripper\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUltimate F adds \u003cstrong\u003ewrist-mounted RGB cameras\u003c\/strong\u003e to both arms — providing a gripper's-eye view of the workspace. These cameras capture close-up visual detail that the head-mounted stereo pair cannot: texture, surface geometry, and grasp point quality at the moment of contact. Combined with the LinkerBot O6's dexterity, wrist vision enables \u003cstrong\u003evisual servoing\u003c\/strong\u003e for precision grasp alignment, \u003cstrong\u003egrasp verification\u003c\/strong\u003e (did the fingers close on the target or miss?), and \u003cstrong\u003ein-hand tracking\u003c\/strong\u003e (monitoring object pose during manipulation). The Orin NX 100 TOPS processes wrist streams alongside head vision and LiDAR — using DLA cores to offload perception networks while the GPU handles grasp planning and hand kinematics. This three-scale visual hierarchy (wrist detail → head scene → LiDAR surround) is unique to configurations with wrist cameras.\u003c\/p\u003e\n\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\n    Vision-LiDAR-Wrist Fusion — Three-Scale Perception\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUltimate F processes \u003cstrong\u003ethree synchronized sensor modalities\u003c\/strong\u003e on the Orin NX 100 TOPS: scene-level depth from the head binocular camera, 360° point clouds from the MID360 LiDAR, and close-up RGB from the wrist-mounted cameras. The \u003cstrong\u003edual DLA cores\u003c\/strong\u003e run vision perception networks in parallel — one DLA for head stereo object detection, one for wrist grasp analysis — while the GPU handles LiDAR SLAM, path planning, and dexterous hand control. With \u003cstrong\u003e16 GB RAM\u003c\/strong\u003e, the system holds multiple perception models concurrently: a scene understanding network for navigation, an object detector for grasp targets, a wrist-based grasp quality estimator, and a hand kinematics solver — all running simultaneously without swapping. This three-scale fusion enables research in active perception (moving the hand to get a better view), dexterous mobile grasping (coordinating base motion with finger closure), and multi-modal embodied AI (learning policies that fuse LiDAR, head vision, and wrist vision into unified action).\u003c\/p\u003e\n\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\n    Autonomous Mobile Base — Navigate, Then Manipulate\n  \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\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\n    Orin NX 100 TOPS — Flagship Compute for Dexterous Manipulation\n  \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. Controlling two LinkerBot O6 hands with 6 DOF each, processing three visual streams (head stereo + two wrist cameras), and running LiDAR SLAM simultaneously demands serious compute — and the Orin NX delivers. The dedicated DLA cores offload neural network inference from the GPU, leaving GPU resources free for sensor fusion, grasp planning, and real-time hand kinematics. The 16 GB RAM provides space for large dexterous manipulation models, VLA policies, and multi-robot coordination algorithms 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\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\n    Binocular Vision \u0026amp; Scene Perception\n  \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 RGB cameras, the R1-A5-D Ultimate F offers a complete three-scale perception stack for dexterous mobile manipulation research — with the Orin NX 100 TOPS processing all streams in real time for SLAM, object detection, grasp planning, and hand control.\u003c\/p\u003e\n\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\n    Voice Collaboration \u0026amp; Natural Interaction\n  \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\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\n    Collapsible. Mobile. Ready to Deploy.\n  \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 F 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\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\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\n    Full-Stack Open Development\n  \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 F a clean slate for reinforcement learning, dexterous manipulation research, embodied AI, and autonomous navigation studies. The built-in \u003cstrong\u003eOrin NX 100 TOPS\u003c\/strong\u003e with dual DLA cores and 16 GB RAM handles perception, grasp planning, and hand control locally — with compute headroom to grow into tactile sensing, large VLA models, and multi-robot coordination without hardware limits.\u003c\/p\u003e\n\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\n    Upgrade Path — Grow With Your Research\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUltimate F is a high-DOF dexterous manipulation platform 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\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 LinkerBot O6 Tactile for force-aware grasping, BrainCo Revo 2 for anthropomorphic manipulation, or tendon-driven hands for biomimetic research.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eTactile Sensing\u003c\/strong\u003e — Integrate force-sensitive fingertips and palm arrays for contact-aware grasping and slip detection.\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    \u003cli\u003e\n\u003cstrong\u003eMulti-Robot Coordination\u003c\/strong\u003e — Deploy fleets of Ultimate F units with distributed perception and coordinated manipulation.\u003c\/li\u003e\n  \u003c\/ul\u003e\n\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\n    Designed For\n  \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;\"\u003eHigh-DOF Mobile Manipulation\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDexterous grasping, in-hand manipulation, and precision mobile manipulation with six-DOF five-finger hands and wrist vision.\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;\"\u003eVisual Dexterous Grasping\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eHand-eye coordination, visual servoing, and grasp verification using wrist RGB cameras combined with head stereo and LiDAR.\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;\"\u003eIn-Hand Manipulation\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eObject reorientation, precision assembly, and tool use with adaptive five-finger grasping and passive joint compliance.\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 for dexterous policies, multi-modal sensor fusion, and distributed mobile manipulation fleets.\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\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\n    Technical Specifications\n  \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 F (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;\"\u003eLinkerBot O6 six-DOF dexterous hands (5-finger, 6 active + 5 passive joints, worm-gear transmission, 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;\"\u003eHand DOF\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e6 active DOF per hand (11 joints total: 6 active + 5 passive)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eHand Grip Force\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e130 N max five-finger grip; 28 N thumb tip; 33 N four-finger tip\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;\"\u003eHand Weight\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e~370 g per hand\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eHand Repeat Accuracy\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e±0.2 mm\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 integrated (both wrists, pre-installed)\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 (optional upgrade: LinkerBot O6 Tactile)\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\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\n    What's in the Box\n  \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 F Humanoid Robot (mobile base)\u003c\/li\u003e\n    \u003cli\u003eLinkerBot O6 six-DOF dexterous hands (pre-installed, both arms)\u003c\/li\u003e\n    \u003cli\u003eWrist-mounted RGB cameras (pre-installed, both wrists)\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\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\n    R1-A5-D Configuration Guide\n  \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\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;\"\u003eConfig\u003c\/th\u003e\n        \u003cth style=\"padding: 12px 14px; text-align: left; font-weight: 600;\"\u003eHand\u003c\/th\u003e\n        \u003cth style=\"padding: 12px 14px; text-align: left; font-weight: 600;\"\u003eCompute\u003c\/th\u003e\n        \u003cth style=\"padding: 12px 14px; text-align: left; font-weight: 600;\"\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 #e2e8f0; font-weight: 600;\"\u003eUltimate A\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eDex1-1 V2\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003e\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":50061916733717,"sku":"R1-A5-D-Smart-Ultimate-F","price":14190.0,"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-f-humanoid-robot","provider":"Futurology Tech","version":"1.0","type":"link"}