{"product_id":"unitree-r1a5d-smart-ultimate-a-humanoid-robot","title":"Unitree R1-A5-D Smart Ultimate A 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 A\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 Dex1-1 V2 Parallel Grippers. 16 DOF, Orin NX 100 TOPS, 16 GB RAM, dual DLA cores, MID360 LiDAR, stereo vision \u0026amp; full-stack open SDK. Entry-level mobile manipulation with flagship compute.\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 A 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 A — mobile-base humanoid with Dex1-1 V2 parallel grippers, 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 A\u003c\/strong\u003e is the entry point into the Ultimate series — pairing the same \u003cstrong\u003eR1-A5-D mobile base\u003c\/strong\u003e and \u003cstrong\u003eDex1-1 V2 parallel grippers\u003c\/strong\u003e as the Smart A with the \u003cstrong\u003eNVIDIA Jetson Orin NX 100 TOPS\u003c\/strong\u003e compute module. Unlike the Smart series, Ultimate A 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 future upgrades. The Dex1-1 V2 grippers provide reliable two-finger parallel grasping for mobile pick-and-place, navigation-then-manipulation workflows, and educational robotics — all with compute headroom to grow.\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✓ Dex1-1 V2 Parallel Grippers\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eReliable two-finger parallel grippers pre-installed on both arms for mobile pick-and-place, object sorting, and foundational manipulation research.\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✓ 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: 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 fusion, navigation, and manipulation planning with room to grow.\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FEATURE: DEX1-1 V2 --\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    Dex1-1 V2 Parallel Grippers — Reliable Mobile Grasping\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe Dex1-1 V2 is a \u003cstrong\u003etwo-finger parallel gripper\u003c\/strong\u003e designed for dependable, repeatable grasping on a mobile platform. Its simple, robust architecture minimizes failure modes during navigation-then-manipulation workflows: the gripper approaches an object, closes with adjustable force, and holds securely while the base moves. The parallel jaw design excels at picking prismatic objects (boxes, cylinders, tools) and is ideal for foundational mobile manipulation research, warehouse automation prototyping, and educational robotics where reliability and simplicity matter more than dexterity. With the Orin NX 100 TOPS, even this entry-level gripper configuration can run advanced visual servoing, grasp pose detection, and reinforcement learning policies that would strain a lesser compute module.\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 A with Dex1-1 V2 parallel grippers\" 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;\"\u003eDex1-1 V2 parallel grippers on the R1-A5-D mobile base for reliable pick-and-place\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FEATURE: NAVIGATE THEN MANIPULATE --\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    Navigate, Then Manipulate — Mobile Pick-and-Place\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUltimate A combines the \u003cstrong\u003eR1-A5-D mobile base\u003c\/strong\u003e with straightforward parallel grippers to create a platform optimized for \u003cstrong\u003emobile pick-and-place\u003c\/strong\u003e and \u003cstrong\u003enavigation-then-manipulation\u003c\/strong\u003e research. The MID360 LiDAR and stereo camera head build real-time maps and plan collision-free paths. The robot drives to a target location, positions itself precisely, and executes a pick with the Dex1-1 V2 grippers. The Orin NX 100 TOPS handles SLAM, path planning, visual object detection, and gripper control simultaneously — with enough headroom to add learned policies, multi-object scene understanding, or fleet coordination without hardware limits.\u003c\/p\u003e\n\n  \u003c!-- FEATURE: VISION-LIDAR 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 Fusion — Perception for Mobile Manipulation\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUltimate A processes synchronized streams from \u003cstrong\u003etwo sensor modalities\u003c\/strong\u003e on the Orin NX 100 TOPS: scene-level depth from the head binocular camera and 360° point clouds from the MID360 LiDAR. The \u003cstrong\u003edual DLA cores\u003c\/strong\u003e can run vision perception networks in parallel while the GPU handles SLAM and planning — no resource contention even under full load. With 16 GB RAM, the system can hold multiple perception models in memory: an object detector for grasp targets, a SLAM network for localization, and a path planner — all running concurrently. This vision-LiDAR fusion enables research in semantic navigation, object-centric mobile manipulation, and autonomous warehouse workflows.\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 Entry-Level 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. Even with entry-level grippers, this compute headroom transforms what Ultimate A can achieve: run real-time SLAM with MID360 LiDAR, process stereo depth at full resolution, deploy learned grasp policies, and experiment with multi-robot coordination — all simultaneously. The dedicated DLA cores offload neural network inference from the GPU, leaving GPU resources free for sensor fusion and planning. 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\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, the R1-A5-D Ultimate A offers a complete perception stack for mobile manipulation research — with the Orin NX 100 TOPS processing both streams in real time for SLAM, object detection, and navigation.\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 A 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 A a clean slate for reinforcement learning, mobile 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 and planning locally — with compute headroom to grow into more advanced end effectors and algorithms 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 A 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\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\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;\"\u003eMobile Manipulation\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003ePick-and-place, object sorting, and navigation-then-manipulation workflows with reliable parallel grippers and autonomous mobile base.\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;\"\u003eNavigation \u0026amp; SLAM\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eAutonomous mapping, path planning, and obstacle avoidance with MID360 LiDAR and stereo vision on 100 TOPS compute.\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;\"\u003eEducation \u0026amp; Prototyping\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eUniversity courses, robotics labs, and warehouse automation prototyping with a platform that grows from beginner to advanced research.\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; Fleet Learning\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eRL and imitation learning with compute headroom for large models, multi-robot coordination, and distributed perception.\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 A (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;\"\u003eDex1-1 V2 parallel grippers (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;\"\u003eNot included (optional upgrade)\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\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 A Humanoid Robot (mobile base)\u003c\/li\u003e\n    \u003cli\u003eDex1-1 V2 parallel grippers (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\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: 700; color: #0ea5e9;\"\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;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eEntry-level parallel grippers, MID360 LiDAR, flagship compute\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eUltimate B\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eDex3-1 (RGB)\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\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 #e2e8f0; font-weight: 600;\"\u003eUltimate C\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eDex3-1 Tactile (RGB)\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\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 #e2e8f0; font-weight: 600;\"\u003eUltimate D\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eBrainCo Revo 2 Basic (RGB)\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\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 #e2e8f0; font-weight: 600;\"\u003eUltimate E\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eBrainCo Revo 2 Tactile (RGB)\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\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 #e2e8f0; font-weight: 600;\"\u003eUltimate F\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eLinkerBot O6 (RGB)\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003eOrin NX 100 TOPS, 16 GB, DLA\u003c\/td\u003e\n        \u003ctd style=\"padding: 12px 14px; border-bottom: 1px solid #e2e8f0;\"\u003e6-DOF dexterous hand with wrist RGB camera\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"Unitree","offers":[{"title":"Default Title","offer_id":50061916406037,"sku":"R1-A5-D-Smart-Ultimate-A","price":12790.0,"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-a-humanoid-robot","provider":"Futurology Tech","version":"1.0","type":"link"}