{"product_id":"unitree-r1a7-smart-c-humanoid-robot","title":"Unitree R1-A7 Smart C 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 C\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 Dex3-1 Tactile Three-Finger Dexterous Hands, Wrist RGB Cameras \u0026amp; Onboard Orin Nano 40 TOPS. 17 DOF, 7-DOF precision arms, 555 mm reach, tactile sensing \u0026amp; full-stack open SDK. The tactile-enabled 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 C dual-arm humanoid robot with Dex3-1 Tactile three-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 C — upper-body humanoid with Dex3-1 Tactile three-finger 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 C\u003c\/strong\u003e adds tactile sensing to the dexterous manipulation stack. 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\u003eDex3-1 Tactile three-finger dexterous hands\u003c\/strong\u003e that can feel what they grasp. Force-sensitive fingertips and palm arrays provide real-time contact feedback, while wrist-mounted RGB cameras deliver close-up visual confirmation. The built-in \u003cstrong\u003eOrin Nano 40 TOPS\u003c\/strong\u003e compute module handles both vision and tactile inference locally. At just ~13 kg, the R1-A7 Smart C brings multi-modal sensing to desktop humanoid research.\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✓ Dex3-1 Tactile Three-Finger Hands\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eAdaptive three-finger dexterous hands with force-sensitive fingertips and palm arrays on both arms. Feel contact forces, detect slip, and modulate grip dynamically.\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, tactile feature extraction, 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 + Tactile API\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eLinux framework, ROS 2 native, open APIs for arms, audio, vision, tactile, lighting. Dual encoders per joint. Tactile sensor data streaming included.\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 C 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 C performing tactile manipulation with Dex3-1 Tactile 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 Dex3-1 Tactile three-finger hands for adaptive grasping with force feedback\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FEATURE: DEX3-1 TACTILE --\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    Dex3-1 Tactile — Three-Finger Dexterity That Feels\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eDex3-1 Tactile\u003c\/strong\u003e takes the adaptive three-finger design of the Dex3-1 and adds a full tactile sensing layer. Force-sensitive arrays cover the fingertips and palm of each hand, measuring contact forces in real time during grasping, sliding, and manipulation. This transforms the robot from a visual-only grasper into a \u003cstrong\u003emulti-modal manipulator\u003c\/strong\u003e that can detect slip, estimate object compliance, and modulate grip force dynamically — just like a human hand. The three-finger configuration strikes an optimal balance between dexterity and control complexity, making it ideal for research in tactile sensorimotor learning, force-controlled assembly, and physical human-robot interaction.\u003c\/p\u003e\n\n  \u003c!-- FEATURE: TACTILE 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    Tactile Grasping — Force-Aware Dexterity at Your Desktop\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eWith the Dex3-1 Tactile hands, the R1-A7 Smart C can perform \u003cstrong\u003eforce-aware grasping\u003c\/strong\u003e that goes far beyond visual pose estimation. The tactile arrays detect initial contact, monitor grip stability, and trigger corrective actions when slip is detected — enabling robust manipulation of fragile, deformable, or irregularly shaped objects that would challenge vision-only systems. This capability is essential for research in \u003cstrong\u003ein-hand manipulation\u003c\/strong\u003e, \u003cstrong\u003ecompliant control\u003c\/strong\u003e, and \u003cstrong\u003etactile exploration\u003c\/strong\u003e of unknown objects. The compact desktop form factor means you can run these experiments on a standard lab bench without needing a full mobile platform or external sensing infrastructure.\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. Combined with the tactile sensors, wrist cameras enable \u003cstrong\u003evisual-tactile fusion\u003c\/strong\u003e — the robot can see an object approach, feel it make contact, and confirm the grasp quality using both modalities simultaneously.\u003c\/p\u003e\n\n  \u003c!-- FEATURE: TACTILE-VISION 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    Tactile-Vision Fusion — Two-Modal Perception for Manipulation\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe R1-A7 Smart C fuses \u003cstrong\u003estereo vision from the head\u003c\/strong\u003e with \u003cstrong\u003etactile sensing from the hands\u003c\/strong\u003e into a unified perception stack. The binocular camera provides global scene understanding, object detection, and coarse grasp planning. The tactile arrays deliver local contact information, slip detection, and grip force modulation. Together, these two modalities create a closed feedback loop: vision proposes, tactile verifies, and the Orin Nano 40 TOPS processes both streams in real time to refine grasp strategies on the fly. This dual-modal architecture is the foundation for next-generation embodied AI research that mimics human sensorimotor coordination.\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 tactile sensing, the R1-A7 Smart C achieves human-like reach envelopes with force-aware manipulation 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 C ships with a built-in \u003cstrong\u003eNVIDIA Jetson Orin Nano delivering 40 TOPS\u003c\/strong\u003e of AI compute. This means visual perception, tactile feature extraction, and sensor fusion all run in real time locally. Object detection models process head camera frames, tactile CNNs classify contact patterns, and reinforcement learning policies execute with sub-millisecond latency — all without external GPU servers or cloud dependency. Just plug in power and start training multi-modal 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 C 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 C upper-body humanoid front view with Dex3-1 Tactile 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 tactile-enabled 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 + Tactile API\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, visual control, and \u003cstrong\u003etactile sensing\u003c\/strong\u003e. ROS 2 native support, dual encoders on every arm joint, and hollow internal wiring make the R1-A7 Smart C a clean slate for reinforcement learning, teleoperation research, tactile sensorimotor learning, and embodied AI. The built-in Orin Nano 40 TOPS handles model training and inference for both vision and tactile modalities without external hardware. Tactile sensor data streams at high frequency via the open API, ready for your custom force controllers and learning algorithms.\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 C 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 Dex3-1 Tactile to BrainCo Revo 2 5-finger dexterous hand (Basic or Tactile), LinkerBot Hand O6 (6-DOF, tactile and non-tactile versions), or tendon-driven hands.\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 vision and tactile inference.\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;\"\u003eTactile Manipulation Research\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eForce-controlled grasping, slip detection, compliant manipulation, and tactile exploration of unknown objects 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;\"\u003eMulti-Modal Sensorimotor Learning\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eTrain RL and imitation learning policies that fuse vision and tactile feedback for robust, adaptive manipulation strategies.\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 tactile sensing, force control, multi-modal perception, and embodied AI on an open, affordable humanoid platform with real force feedback.\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;\"\u003ePhysical Human-Robot Interaction\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eSafe handovers, collaborative assembly, and responsive interaction studies where the robot must detect and react to human contact forces.\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 C (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;\"\u003eDex3-1 Tactile three-finger 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;\"\u003eForce-sensitive fingertips and palm arrays (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;\"\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 style=\"background: #f8fafc;\"\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\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 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 Nano 40 TOPS, 6-core CPU, 8 GB LPDDR5 (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;\"\u003eExternal DC PSU included (optional Li-ion battery, ~1.5 h)\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;\"\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\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 style=\"background: #f8fafc;\"\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\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\/tactile\/lighting\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;\"\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-A7 Smart C Humanoid Robot (upper body)\u003c\/li\u003e\n    \u003cli\u003eDex3-1 Tactile three-finger dexterous hands (pre-installed, both arms)\u003c\/li\u003e\n    \u003cli\u003eTactile sensor arrays (pre-installed in fingertips and palms)\u003c\/li\u003e\n    \u003cli\u003eWrist RGB cameras (pre-installed, both wrists)\u003c\/li\u003e\n    \u003cli\u003eNVIDIA Jetson Orin Nano 40 TOPS compute module (pre-installed)\u003c\/li\u003e\n    \u003cli\u003eExternal power supply \u0026amp; AC cable\u003c\/li\u003e\n    \u003cli\u003eOptional: upper-body lithium-ion battery pack\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\u003e\u003c\/h2\u003e\n\u003c\/div\u003e","brand":"Unitree","offers":[{"title":"Default Title","offer_id":50063871148309,"sku":"R1-A7-Smart-C","price":18390.0,"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-c-humanoid-robot","provider":"Futurology Tech","version":"1.0","type":"link"}