{"product_id":"unitree-r1a7-smart-d-humanoid-robot","title":"Unitree R1-A7 Smart D 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 — Smart Series\u003c\/div\u003e\n    \u003ch1 style=\"font-size: 36px; font-weight: 800; letter-spacing: -0.8px; margin-bottom: 16px; color: #fff;\"\u003eUnitree R1-A7 Smart D\u003c\/h1\u003e\n    \u003cp style=\"font-size: 18px; color: #94a3b8; max-width: 680px; margin: 0 auto; line-height: 1.6;\"\u003eUpper-Body Dual-Arm Humanoid Robot with BrainCo Revo 2 Basic Five-Finger Anthropomorphic Dexterous Hands, Wrist RGB Cameras \u0026amp; Onboard Orin Nano 40 TOPS. 17 DOF, 7-DOF precision arms, 555 mm reach, human-like grasping \u0026amp; full-stack open SDK. The anthropomorphic entry to advanced humanoid 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 src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/5b854dfc2a533a17e5662e87f0e87fef2560939f.webp?v=1784929516\" alt=\"Unitree R1-A7 Smart D dual-arm humanoid robot with BrainCo Revo 2 Basic five-finger hands\" style=\"width: 100%; display: block;\"\u003e\n    \u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic;\"\u003eR1-A7 Smart D — upper-body humanoid with BrainCo Revo 2 Basic five-finger anthropomorphic hands, wrist RGB cameras \u0026amp; Orin Nano 40 TOPS\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;\"\u003e17\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;\"\u003e7+7\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;\"\u003e555\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003emm Reach\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;\"\u003e13\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 Weight\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-A7 Smart D\u003c\/strong\u003e brings true anthropomorphic dexterity to the desktop. You get the full upper-body dual-arm humanoid with 7-DOF arms, waist rotation, binocular vision, voice interaction, and open SDK — now paired with \u003cstrong\u003eBrainCo Revo 2 Basic five-finger anthropomorphic dexterous hands\u003c\/strong\u003e that mirror human hand morphology. Each hand features five independently actuated fingers with human-like joint architecture, enabling natural grasping of everyday objects, tools, and components. Wrist-mounted RGB cameras provide close-up visual feedback for grasp verification and hand-eye coordination. The built-in \u003cstrong\u003eOrin Nano 40 TOPS\u003c\/strong\u003e compute module powers real-time perception and AI inference locally. At just ~13 kg, the R1-A7 Smart D is the most human-like desktop manipulator in the R1-A7 lineup.\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-A7 Upper-Body Humanoid\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDual 7-DOF arms, 1-DOF waist (±150°), 2-DOF head. 835×357×190 mm compact footprint, ~13 kg. Crossed-roller bearings, low-inertia inner-rotor motors, hollow internal cabling.\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✓ BrainCo Revo 2 Basic Five-Finger Hands\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eAnthropomorphic dexterous hands with five independently actuated fingers on both arms. Human-like joint architecture for natural grasping of everyday objects and tools.\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 RGB Cameras\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eRGB cameras integrated into each wrist module for close-up visual feedback, grasp verification, and hand-eye coordination.\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 Nano 40 TOPS\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eOnboard NVIDIA Jetson Orin Nano delivering 40 TOPS for real-time perception, grasp planning, and AI model inference.\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✓ Binocular Vision Head\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eRGB 1280×720@30 Hz + Depth 544×448@10 Hz. 146°×124° FOV, 60 mm baseline. 8-core CPU + 10 TOPS NPU on-board.\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✓ Full-Stack Open SDK\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eLinux framework, ROS 2 native, open APIs for arms, audio, vision, lighting. Dual encoders per joint.\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FEATURE: DUAL ARM --\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    Dual 7-DOF Arms. Redundant Kinematics. Human-Like Dexterity.\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe R1-A7 Smart D is engineered around two \u003cstrong\u003e7-DOF high-performance arms\u003c\/strong\u003e, each driven by low-inertia inner-rotor PMSM motors with crossed-roller and double-row ball bearings. With \u003cstrong\u003e555 mm reach\u003c\/strong\u003e and a ~2 kg payload per arm, it handles precise assembly, pick-and-place, and manipulation research with human-like fluidity. The extra two degrees of freedom per arm (compared to 5-DOF platforms) provide \u003cstrong\u003ekinematic redundancy\u003c\/strong\u003e — the arm can maintain end-effector pose while reconfiguring its elbow to avoid obstacles, reach around corners, or optimize for natural motion. Dual encoders on every joint deliver closed-loop precision down to ±0.1 mm.\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);\"\u003e\n    \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/57a92d5e0b0b3c05c875858cc877b8da70c6cef8.webp?v=1784929444\" alt=\"Unitree R1-A7 Smart D performing anthropomorphic manipulation with BrainCo Revo 2 Basic hands\" style=\"width: 100%; display: block;\"\u003e\n    \u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic;\"\u003eDual 7-DOF arms with BrainCo Revo 2 Basic five-finger anthropomorphic hands for human-like grasping\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FEATURE: BRAINCO REVO 2 BASIC --\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    BrainCo Revo 2 Basic — Five-Finger Anthropomorphic Dexterity\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eBrainCo Revo 2 Basic\u003c\/strong\u003e is a research-grade five-finger anthropomorphic dexterous hand designed to replicate human hand morphology and motion. Each hand features \u003cstrong\u003efive independently actuated fingers\u003c\/strong\u003e with multiple joints per finger, enabling a wide repertoire of grasp types — from precision pinches to power grips, from tripod grasps to lateral holds. The human-like joint architecture means the robot can manipulate the same objects humans use every day: pens, cups, tools, phones, and components. Unlike simpler grippers, the Revo 2 Basic can perform \u003cstrong\u003ein-hand manipulation\u003c\/strong\u003e — reorienting objects without releasing them, sliding fingers along surfaces, and adjusting grip configurations on the fly. This makes it the ideal end effector for research in anthropomorphic robotics, human-robot interaction, and embodied AI that aims to bridge the gap between machine and human manipulation capabilities.\u003c\/p\u003e\n\n  \u003c!-- FEATURE: ANTHROPOMORPHIC GRASPING --\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    Anthropomorphic Grasping — Human-Like Dexterity at Your Desktop\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eWith the BrainCo Revo 2 Basic hands, the R1-A7 Smart D can perform \u003cstrong\u003eanthropomorphic grasping\u003c\/strong\u003e that mirrors human hand behavior. The five-finger configuration supports the full taxonomy of human grasps — power grips for large objects, precision grips for small items, tripod grasps for spherical objects, and lateral pinches for flat components. Each finger moves independently, allowing the hand to conform to irregular object geometries and maintain stable contact across multiple points. This level of dexterity is essential for research in \u003cstrong\u003ehuman-robot handover\u003c\/strong\u003e, \u003cstrong\u003etool use\u003c\/strong\u003e, \u003cstrong\u003edomestic manipulation\u003c\/strong\u003e, and \u003cstrong\u003eembodied AI\u003c\/strong\u003e where the robot must interact with human-designed environments and objects. The compact desktop form factor puts this anthropomorphic capability within reach of any research lab or university classroom.\u003c\/p\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;\"\u003eIntegrated \u003cstrong\u003eRGB cameras on each wrist\u003c\/strong\u003e provide a gripper's-eye view of the workspace. These close-up feeds are invaluable for visual servoing, grasp verification, and fine manipulation tasks where the head-mounted stereo pair lacks resolution or the right viewing angle. With five-finger hands, wrist cameras become even more critical — they capture finger configurations, contact points, and object pose relative to the palm, enabling detailed analysis of grasp quality and hand posture. Combined with the anthropomorphic hand design, wrist cameras support \u003cstrong\u003evisual imitation learning\u003c\/strong\u003e from human hand videos and \u003cstrong\u003egrasp pose estimation\u003c\/strong\u003e for complex multi-finger configurations.\u003c\/p\u003e\n\n  \u003c!-- FEATURE: VISION-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-Wrist Fusion — Two-Scale Perception for Anthropomorphic Manipulation\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe R1-A7 Smart D fuses \u003cstrong\u003estereo vision from the head\u003c\/strong\u003e with \u003cstrong\u003eclose-up RGB feeds from the wrist cameras\u003c\/strong\u003e into a unified perception stack. The binocular camera provides global scene understanding, object detection, and coarse grasp planning across the full workspace. The wrist cameras deliver high-resolution local views of the hand-object interaction, capturing finger positions, contact geometry, and grasp stability in detail. Together, these two visual scales create a complete manipulation perception pipeline: the head camera finds the object, the wrist camera guides the fingers, and the Orin Nano 40 TOPS processes both streams in real time to execute precise anthropomorphic grasps. This dual-scale visual architecture is essential for research in \u003cstrong\u003evisual dexterous manipulation\u003c\/strong\u003e, \u003cstrong\u003egrasp pose estimation\u003c\/strong\u003e, and \u003cstrong\u003eimitation learning from human demonstrations\u003c\/strong\u003e.\u003c\/p\u003e\n\n  \u003c!-- FEATURE: WAIST --\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    Waist Rotation — Expand Your Workspace\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003e1-DOF waist joint\u003c\/strong\u003e provides \u003cstrong\u003e±150° of rotation\u003c\/strong\u003e, dramatically expanding the robot's reachable workspace without moving the base. In a seated or standing deployment, the waist allows the robot to turn and manipulate objects on either side, hand objects from one hand to the other across the body, and orient toward humans or workstations. Combined with 7-DOF arms and five-finger anthropomorphic hands, the R1-A7 Smart D achieves human-like reach envelopes with natural grasping across a full semicircle of desktop space — ideal for collaborative tasks, bimanual assembly workflows, and human-robot interaction studies.\u003c\/p\u003e\n\n  \u003c!-- FEATURE: ORIN NANO --\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 Nano 40 TOPS — AI Onboard, No Latency\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe R1-A7 Smart D ships with a built-in \u003cstrong\u003eNVIDIA Jetson Orin Nano delivering 40 TOPS\u003c\/strong\u003e of AI compute. This means visual perception, grasp pose estimation, and hand tracking all run in real time locally. Object detection models process head camera frames, finger keypoint detectors analyze wrist camera feeds, and reinforcement learning policies execute with sub-millisecond latency — all without external GPU servers or cloud dependency. Just plug in power and start training anthropomorphic manipulation policies.\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; AI 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. RGB streams at 1280×720@30 Hz and depth at 544×448@10 Hz give the R1-A7 true spatial awareness. Paired with an 8-core high-performance CPU + 10 TOPS NPU in the head module, plus the Orin Nano 40 TOPS body compute, it runs visual perception, object detection, and gesture recognition locally — no cloud required.\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 or classrooms. The open audio framework supports custom wake words, multilingual TTS, and integration with LLMs for conversational command-and-control.\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    Compact. Lightweight. Desktop-Ready.\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eAt just \u003cstrong\u003e835 × 357 × 190 mm\u003c\/strong\u003e and approximately \u003cstrong\u003e13 kg\u003c\/strong\u003e, the R1-A7 Smart D fits on a standard lab bench or classroom desk. The compact footprint leaves room for objects, tools, and sensors around the robot. Power via the included external supply — an optional upper-body Li-ion battery is available for ~1.5 hours of untethered 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-A7 Smart D upper-body humanoid front view with BrainCo Revo 2 Basic hands\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/unitree-r1-a5.jpg?v=1784929633\"\u003e\n    \u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic; padding-bottom: 12px;\"\u003eCompact 13 kg upper-body design — deploy on any desk or lab bench with anthropomorphic five-finger dexterity\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, audio, lighting, and visual control. ROS 2 native support, dual encoders on every arm joint, and hollow internal wiring make the R1-A7 Smart D a clean slate for reinforcement learning, teleoperation research, imitation learning from human hand videos, and embodied AI. The built-in Orin Nano 40 TOPS handles model training and inference for visual perception and grasp planning without external hardware. The open SDK includes full control over all five fingers per hand, enabling custom grasp controllers and anthropomorphic motion primitives.\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;\"\u003eStart with Smart D and expand as your projects evolve. The R1-A7 platform is fully modular:\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 from BrainCo Revo 2 Basic to BrainCo Revo 2 Tactile (adds force-sensitive fingertips and palm arrays), Dex3-1 or Dex3-1 Tactile 3-finger hands, LinkerBot Hand O6 (6-DOF, tactile and non-tactile versions), or tendon-driven hands.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eTactile\u003c\/strong\u003e — Add the BrainCo Revo 2 Tactile upgrade to bring force sensing to your anthropomorphic hands for multi-modal manipulation research.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eLarge VLM\u003c\/strong\u003e — Deploy vision-language models for natural-language manipulation commands, visual question answering, and semantic scene understanding.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eCompute Module\u003c\/strong\u003e — Swap the Orin Nano for the Orin NX 100 TOPS module to unlock 2.5× AI performance, 16 GB RAM, and dual DLA cores for simultaneous head and wrist camera processing.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eUpper-Body Battery\u003c\/strong\u003e — Add the Li-ion battery pack for ~1.5 hours of cord-free operation.\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;\"\u003eAnthropomorphic Manipulation\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eResearch human-like grasping, in-hand manipulation, tool use, and dexterous object handling with five-finger anthropomorphic hands on a compact desktop platform.\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;\"\u003eHuman-Robot Interaction\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eNatural handovers, collaborative tasks, and social robotics research where human-like hand morphology improves trust, predictability, and interaction quality.\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;\"\u003eUniversity Labs\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eTeaching anthropomorphic robotics, grasp taxonomy, dexterous control, and embodied AI on an open platform with human-like end effectors and full SDK access.\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; Imitation Learning\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eTrain policies from human hand videos, learn dexterous behaviors through demonstration, and study transfer learning between human and robot manipulation.\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-A7 Smart D (Upper Body)\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 (Compact)\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e835 × 357 × 190 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 (Extended)\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e1320 × 450 × 200 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~13 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;\"\u003e17 (Arm 7×2, Waist 1, Head 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;\"\u003e555 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;\"\u003eJoint Bearings\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eCrossed-roller + double-row ball bearings\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eJoint Motors\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eLow-inertia, high-speed, inner-rotor permanent magnet synchronous motors\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;\"\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\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 style=\"background: #f8fafc;\"\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;\"\u003eBrainCo Revo 2 Basic five-finger anthropomorphic dexterous hands (both arms, 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;\"\u003eWrist Cameras\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eRGB integrated (pre-installed, both wrists)\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;\"\u003eTactile Sensing\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eNot included (optional upgrade: BrainCo Revo 2 Tactile)\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 DOF\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e5 independently actuated fingers per hand\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;\"\u003eWaist Joint\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e1-DOF, Yaw: ±150°\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eHead Joint\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e2-DOF, Yaw: ±115°, Pitch: ±36°\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;\"\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 style=\"background: #f8fafc;\"\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\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 Nano 40 TOPS, 6-core CPU, 8 GB LPDDR5 (built-in)\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;\"\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\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 style=\"background: #f8fafc;\"\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;\"\u003eExternal DC PSU included (optional Li-ion battery, ~1.5 h)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eCabling\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eHollow + internal wiring\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;\"\u003eJoint Encoders\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eDual + single encoders per joint\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eCooling\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eLocalized air cooling\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\/audio\/vision\/lighting\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003ctd style=\"padding: 14px 18p\"\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":50063871279381,"sku":"R1-A7-Smart-D","price":13690.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/unitree-r1-a5.jpg?v=1784929633","url":"https:\/\/futurology.tech\/products\/unitree-r1a7-smart-d-humanoid-robot","provider":"Futurology Tech","version":"1.0","type":"link"}