{"product_id":"unitree-h2d-standard-i-humanoid-robot","title":"Unitree H2-D Standard I Humanoid Robot","description":"\u003cdiv style=\"max-width: 960px; margin: 0 auto; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif; line-height: 1.7; color: #1a1a1a;\"\u003e\n\u003c!-- HERO --\u003e\n\u003cdiv style=\"text-align: center; margin-bottom: 56px; padding: 48px 24px; background: linear-gradient(135deg, #0f172a 0%, #1e293b 100%); border-radius: 20px; color: #fff;\"\u003e\n\u003cdiv style=\"display: inline-block; background: rgba(255,255,255,0.1); backdrop-filter: blur(10px); padding: 6px 16px; border-radius: 999px; font-size: 12px; font-weight: 600; letter-spacing: 0.8px; text-transform: uppercase; margin-bottom: 20px; color: #38bdf8;\"\u003eUnitree Robotics — H2-D Series\u003c\/div\u003e\n\u003ch1 style=\"font-size: 36px; font-weight: 800; letter-spacing: -0.8px; margin-bottom: 16px; color: #fff;\"\u003eUnitree H2-D Standard I\u003c\/h1\u003e\n\u003cp style=\"font-size: 18px; color: #94a3b8; max-width: 680px; margin: 0 auto; line-height: 1.6;\"\u003eWheeled Dual-Arm Humanoid Robot with Inspire Robots RH56E2-T1 Tactile Five-Finger Dexterous Hands \u0026amp; Dual Intel Core i5\/i7 Compute. 31 DOF, 6-DOF 5-finger hands with 17 tactile sensors, 0.5 m vertical lift, 0.62 m reach, 7 kg payload, binocular vision \u0026amp; full-stack open SDK.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- GALLERY: MAIN PRODUCT SHOT --\u003e\n\u003cdiv style=\"margin-bottom: 56px; border-radius: 16px; overflow: hidden; box-shadow: 0 20px 60px rgba(0,0,0,0.15);\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/H2-D-series.png?v=1785508614\" alt=\"Unitree H2-D Standard I wheeled dual-arm humanoid robot with RH56E2-T1 tactile five-finger dexterous hands\" style=\"width: 100% !important; height: auto !important; display: block !important; object-fit: contain !important; max-height: none !important;\"\u003e\n\u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic;\"\u003eH2-D Standard I — wheeled dual-arm humanoid with RH56E2-T1 tactile five-finger dexterous hands, 2-DOF column with 0.5 m vertical travel\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- KEY SPECS --\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); gap: 16px; margin-bottom: 56px;\"\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 32px; font-weight: 800; color: #0ea5e9;\"\u003e31\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;\"\u003e0.5\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003em Vertical Travel\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;\"\u003e6\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eHand 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;\"\u003e135\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\u003c!-- FEATURE: WHAT'S INCLUDED --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e What's in This Configuration\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eH2-D Standard I\u003c\/strong\u003e upgrades to \u003cstrong\u003eInspire Robots RH56E2-T1 tactile five-finger dexterous hands\u003c\/strong\u003e — delivering 6-DOF anthropomorphic manipulation with \u003cstrong\u003e17 tactile sensors per hand\u003c\/strong\u003e for force-aware grasping on the wheeled H2-D base. It combines a \u003cstrong\u003e2-DOF motorized column\u003c\/strong\u003e (0.5 m vertical travel + 90° base rotation) with dual \u003cstrong\u003e7-DOF arms\u003c\/strong\u003e, a \u003cstrong\u003e1-DOF waist\u003c\/strong\u003e (0°–115° pitch), and a \u003cstrong\u003e2-DOF head\u003c\/strong\u003e to deliver a \u003cstrong\u003e31-DOF\u003c\/strong\u003e manipulation system. Each RH56E2-T1 hand features \u003cstrong\u003e6 active DOF\u003c\/strong\u003e and \u003cstrong\u003e12 joints\u003c\/strong\u003e with \u003cstrong\u003e±0.20 mm fingertip repeatability\u003c\/strong\u003e, \u003cstrong\u003ethumb 30 N \/ four fingers 28 N grip force\u003c\/strong\u003e, and \u003cstrong\u003e17 tactile sensors\u003c\/strong\u003e (0–30 N range, ≤5% FS accuracy) for closed-loop force control. At 135 kg with external power for 24\/7 operation, H2-D Standard I is the ultimate platform for tactile-aware industrial dexterous manipulation research.\u003c\/p\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); gap: 16px; margin-bottom: 48px;\"\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ H2-D Wheeled Dual-Arm Humanoid\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDual 7-DOF arms, 1-DOF waist (0°–115° pitch), 2-DOF head, 2-DOF motorized column (0.5 m vertical travel + 90° rotation). 1200×576×620 mm (min) to 1700×576×620 mm (max). ~135 kg. Fixed base with in-place Z-axis rotation.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Inspire Robots RH56E2-T1 Tactile Five-Finger Dexterous Hands\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003e\n\u003cstrong\u003e6 active DOF per hand\u003c\/strong\u003e, \u003cstrong\u003e12 joints total\u003c\/strong\u003e. \u003cstrong\u003e17 tactile sensors per hand\u003c\/strong\u003e (0–30 N range, ≤5% FS accuracy). Thumb max grip force \u003cstrong\u003e30 N\u003c\/strong\u003e, four-finger max grip force \u003cstrong\u003e28 N\u003c\/strong\u003e. \u003cstrong\u003e±0.20 mm fingertip repeatability\u003c\/strong\u003e. Thumb side\/flex speed \u003cstrong\u003e\u0026gt;130°\/s\u003c\/strong\u003e, four-finger flex speed \u003cstrong\u003e\u0026gt;200°\/s\u003c\/strong\u003e. Palm closing time \u003cstrong\u003e0.8 s\u003c\/strong\u003e. Power: \u003cstrong\u003e24V±10%\u003c\/strong\u003e (static 0.25A, max 4A). Weight: \u003cstrong\u003e800 g per hand\u003c\/strong\u003e. Wrist RGB camera included. FOV D:130°\/H:120°\/V:81°, 1920×1080.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Dual Intel Compute\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003ePC1: Intel Core i5 for platform functionality. PC2: Intel Core i7 for user development. Optional PC3 (Jetson Thor) and PC4 (i7\/Orin NX) slots for future AI upgrades.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Binocular Vision Head\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eWide-angle humanoid-style dual-camera system. 8-core CPU + 10 TOPS NPU on-board head compute for real-time visual perception.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ 2-DOF Motorized Column\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003e0.5 m vertical travel at ~200 mm\/s max speed. 90° left\/right rotation relative to base. Expands workspace from floor level to 2 m height for flexible pick-and-place across full vertical range.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ 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. Smart OTA updates.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\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 Dual 7-DOF Arms. Industrial-Grade Kinematics. Human-Like Dexterity.\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe H2-D Standard I 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\u003e~0.62 m reach per arm\u003c\/strong\u003e and a \u003cstrong\u003e~7 kg rated payload per arm\u003c\/strong\u003e (up to ~15 kg peak), it handles precise assembly, heavy pick-and-place, and industrial manipulation research with human-like fluidity. The extra two degrees of freedom per arm 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.\u003c\/p\u003e\n\u003cdiv style=\"margin-bottom: 56px; border-radius: 16px; overflow: hidden; box-shadow: 0 12px 40px rgba(0,0,0,0.08);\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/H2-D-A--1.jpg?v=1785508808\" alt=\"Unitree H2-D Standard I\" style=\"width: 100%; display: block;\"\u003e\n\u003cp style=\"width: 100% !important; height: auto !important; display: block !important; object-fit: contain !important; max-height: none !important;\"\u003e \u003c\/p\u003e\n\u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 1px; font-style: italic;\"\u003eBuilding on the biomimetic design philosophy of the H2 series, Unitree H2-D features a 20-DOF humanoid architecture, multimodal perception, and an open development framework. Combining industrial-grade reliability, research-oriented openness, and adaptability for commercial deployment, H2-D is a high-performance humanoid platform designed for industrial manipulation, commercial services, robotics research, and embodied AI training.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: COLUMN --\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 2-DOF Motorized Column — Expand Your Workspace Vertically\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003e2-DOF motorized column\u003c\/strong\u003e provides \u003cstrong\u003e0.5 m of vertical travel\u003c\/strong\u003e at speeds up to \u003cstrong\u003e~200 mm\/s\u003c\/strong\u003e, plus \u003cstrong\u003e90° left\/right rotation\u003c\/strong\u003e relative to the base. This transforms the robot from a compact 1200 mm unit to a 1700 mm tall workstation — enabling floor-level picking, mid-height assembly, and overhead shelf access without moving the base. Combined with the 1-DOF waist (0°–115° pitch) and 7-DOF arms, H2-D achieves a full spherical workspace spanning from ground to 2 m height — ideal for warehouse logistics, assembly lines, and service robotics.\u003c\/p\u003e\n\u003c!-- FEATURE: GRIPPER --\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 Inspire Robots RH56E2-T1 Tactile Five-Finger Hands — Feel, Grasp \u0026amp; Interact\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe Inspire Robots RH56E2-T1 is a \u003cstrong\u003e6-DOF five-finger dexterous hand\u003c\/strong\u003e with integrated \u003cstrong\u003etactile sensing\u003c\/strong\u003e — engineered for tactile-aware industrial dexterous manipulation. With \u003cstrong\u003e12 joints total\u003c\/strong\u003e across five fingers and \u003cstrong\u003e17 tactile sensors per hand\u003c\/strong\u003e (0–30 N range, ≤5% FS accuracy), it achieves closed-loop force control for delicate object handling, slip detection, and adaptive grasping. The hand delivers a \u003cstrong\u003ethumb max grip force of 30 N\u003c\/strong\u003e and \u003cstrong\u003efour-finger max grip force of 28 N\u003c\/strong\u003e with \u003cstrong\u003e±0.20 mm fingertip repeatability\u003c\/strong\u003e — enabling both powerful and precise manipulation.\u003c\/p\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe thumb achieves \u003cstrong\u003eside\/flex speed \u0026gt;130°\/s\u003c\/strong\u003e while the four fingers reach \u003cstrong\u003e\u0026gt;200°\/s flexion speed\u003c\/strong\u003e — enabling fast, fluid grasping motions with a \u003cstrong\u003epalm closing time of just 0.8 s\u003c\/strong\u003e. Each hand weighs \u003cstrong\u003e800 g\u003c\/strong\u003e and operates at \u003cstrong\u003e24V±10%\u003c\/strong\u003e (static 0.25A, max 4A). The integrated wrist RGB camera provides close-up visual feedback for grasp verification, supporting visuo-motor coordination and tactile-visual fusion research.\u003c\/p\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 16px; margin-bottom: 48px;\"\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 12px; padding: 20px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 28px; font-weight: 800; color: #0ea5e9;\"\u003e6\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 4px; text-transform: uppercase; letter-spacing: 0.6px; font-weight: 600;\"\u003eHand DOF\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 12px; padding: 20px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 28px; font-weight: 800; color: #0ea5e9;\"\u003e12\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 4px; text-transform: uppercase; letter-spacing: 0.6px; font-weight: 600;\"\u003eJoints\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 12px; padding: 20px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 28px; font-weight: 800; color: #0ea5e9;\"\u003e17\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 4px; text-transform: uppercase; letter-spacing: 0.6px; font-weight: 600;\"\u003eTactile Sensors\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 12px; padding: 20px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n\u003cdiv style=\"font-size: 28px; font-weight: 800; color: #0ea5e9;\"\u003e30N\u003c\/div\u003e\n\u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 4px; text-transform: uppercase; letter-spacing: 0.6px; font-weight: 600;\"\u003eThumb Grip Force\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\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 1-DOF Waist — Flexible Body Pitch\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\u003e0°–115° pitch\u003c\/strong\u003e, enabling the robot to bend forward for floor-level picking, lean back for overhead access, and orient toward workstations or humans. Combined with the 2-DOF column and 7-DOF arms, H2-D achieves a remarkably flexible posture envelope that covers the full vertical workspace from ground to 2 m.\u003c\/p\u003e\n\u003c!-- FEATURE: COMPUTE --\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 Dual Intel Compute — Power for Control \u0026amp; Development\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe H2-D Standard I ships with a built-in \u003cstrong\u003edual-compute architecture\u003c\/strong\u003e: PC1 runs an Intel Core i5 for real-time platform functionality and motion control, while PC2 provides an Intel Core i7 dedicated to user development. This separation ensures deterministic robot behavior while giving researchers full freedom to experiment. Optional expansion slots (PC3 for NVIDIA Jetson Thor, PC4 for Intel i7 or Jetson Orin NX) future-proof the platform as your AI ambitions grow.\u003c\/p\u003e\n\u003c!-- FEATURE: VISION --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Binocular Vision \u0026amp; AI Perception\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eA wide-angle humanoid-style binocular camera head delivers a broad field of view for spatial awareness. Paired with an 8-core high-performance CPU + 10 TOPS NPU in the head module, plus the dual Intel compute in the body, it runs visual perception, object detection, and gesture recognition locally — no cloud required. The RH56E2-T1 wrist cameras add close-up visual feedback for precision grasping and finger tracking, complementing the 17 tactile sensors for multi-modal perception research.\u003c\/p\u003e\n\u003c!-- FEATURE: VOICE --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Voice Collaboration \u0026amp; Natural Interaction\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eArray beamforming microphones and high-power speakers enable clear voice capture and synthesis in noisy industrial floors or warehouses. The open audio framework supports custom wake words, multilingual TTS, and integration with LLMs for conversational command-and-control.\u003c\/p\u003e\n\u003c!-- FEATURE: COMPACT --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Industrial-Grade. 24\/7 Ready.\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eAt \u003cstrong\u003e1200–1700 × 576 × 620 mm\u003c\/strong\u003e (height adjustable) and approximately \u003cstrong\u003e135 kg\u003c\/strong\u003e, the H2-D Standard I is a substantial industrial workstation. The fixed base supports in-place Z-axis rotation for flexible positioning. Power via the included external power supply for \u003cstrong\u003e7×24 continuous operation\u003c\/strong\u003e — the base contains two quick-swap batteries for energy storage and back-EMF absorption, but actual operation requires direct charging.\u003c\/p\u003e\n\u003cdiv style=\"margin-bottom: 56px; border-radius: 16px; overflow: hidden; box-shadow: 0 12px 40px rgba(0,0,0,0.08); background: #f8fafc;\"\u003e\n\u003cimg style=\"width: 100%; height: auto; display: block; object-fit: contain;\" alt=\"Unitree H2-D Standard I wheeled dual-arm humanoid\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/H2-D-nbnn.png?v=1785509276\"\u003e\n\u003cp style=\"width: 100% !important; height: auto !important; display: block !important; object-fit: contain !important; max-height: none !important;\"\u003e \u003c\/p\u003e\n\u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic;\"\u003eBiomimetic Design \u0026amp; Full-Body Mobility: a 2-DOF waist and whole-body coordinated motion extend the operating workspace from floor level to a height of 2 m, enabling flexible manipulation across the entire workspace.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- FEATURE: OPEN SDK --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Full-Stack Open Development\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eUnitree provides a mature, Linux-based robot development framework with open APIs for the underlying system, robotic arms, audio, lighting, and visual control. ROS 2 native support, dual encoders on every arm joint, and hollow internal wiring make the H2-D Standard I a clean slate for reinforcement learning, teleoperation research, and embodied AI. The dual Intel compute handles model training and inference without external hardware.\u003c\/p\u003e\n\u003c!-- UPGRADE PATH --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Upgrade Path — Grow With Your Research\u003c\/h2\u003e\n\u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eStandard A is the entry point with parallel grippers. Standard B adds three-finger dexterous grasping. Standard C enriches it with tactile sensing. Standard D upgrades to five-finger 16-DOF anthropomorphic manipulation. Standard E adds 94 pressure sensors per hand. Standard F introduces the BrainCo Revo 2 Basic. Standard G upgrades to the Revo 2 Touch with multi-modal tactile sensing. Standard H features the Inspire Robots RH56DFQ — a 6-DOF 12-joint five-finger hand with industrial-grade precision and high-speed actuation. Standard I adds tactile sensing with the RH56E2-T1 — 17 tactile sensors per hand for closed-loop force-aware manipulation. Every configuration shares the same H2-D wheeled base — the difference is the end effector. Upgrade your capabilities as your research evolves:\u003c\/p\u003e\n\u003cul style=\"color: #475569; line-height: 2; padding-left: 22px; margin-bottom: 48px; font-size: 15px;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnd Effectors\u003c\/strong\u003e — Already at RH56E2-T1 tactile 6-DOF. Upgrade to Revo 3 U21 (21-DOF), Revo 3 U21T\/U21VT (tactile\/visuo-tactile), or WUJI Hand 2 for specialized dexterous manipulation research.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWrist Cameras\u003c\/strong\u003e — Already included with RH56E2-T1. All upgrade hands include wrist RGB cameras for close-up visual feedback and grasp verification.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompute Module\u003c\/strong\u003e — Add NVIDIA Jetson Thor (PC3) or Intel Core i7 \/ Jetson Orin NX (PC4) to unlock massive AI performance for embodied intelligence research.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower\u003c\/strong\u003e — External PSU included as standard for 7×24 operation. Base batteries are for energy storage and back-EMF absorption only.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- APPLICATIONS --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 20px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Designed For\u003c\/h2\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 16px; margin-bottom: 56px;\"\u003e\n\u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border-left: 4px solid #0ea5e9;\"\u003e\n\u003cdiv style=\"font-weight: bold; color: #0f172a; margin-bottom: 6px;\"\u003eTactile-Aware Industrial Manipulation\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003e17 tactile sensors per hand (0–30 N, ≤5% FS) enable closed-loop force control for delicate assembly, compliant manipulation, and slip detection.\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;\"\u003eForce-Controlled Grasping\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003e30 N thumb \/ 28 N four-finger grip force with tactile feedback enables adaptive grasping for fragile and deformable objects.\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;\"\u003eVisuo-Tactile Fusion Research\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eCombine wrist RGB cameras with 17 tactile sensors per hand for multi-modal perception, tactile-visual SLAM, and embodied AI.\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;\"\u003eBimanual Robotics Research\u003c\/div\u003e\n\u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eDual-arm coordination with tactile-aware five-finger hands for hand-over tasks, collaborative manipulation, and haptic interaction research.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- SPECS TABLE --\u003e\n\u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 20px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n\u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e Technical Specifications\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: separate; border-spacing: 0; font-size: 14px; color: #334155; margin-bottom: 56px; border-radius: 12px; overflow: hidden; border: 1px solid #e2e8f0;\"\u003e\n\u003ctr style=\"background: #0f172a; color: #fff;\"\u003e\n\u003ctd style=\"padding: 14px 18px; font-weight: 600; width: 42%;\"\u003eModel\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; font-weight: 600;\"\u003eUnitree H2-D Standard I (Wheeled Base)\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 (Min Height)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e1200 × 576 × 620 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;\"\u003eDimensions (Max Height)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e1700 × 576 × 620 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;\"\u003eWeight (with Battery)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e~135 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eTotal DOF (without hands)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e19 (Arm 7×2, Waist 1, Head 2, Column 2)\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 (with hands)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e31 (Arm 7×2, Waist 1, Head 2, Column 2, Hand 6×2)\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;\"\u003e~0.62 m\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;\"\u003ePeak: ~15 kg; Rated: ~7 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;\"\u003eVertical Travel\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e0.5 m\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;\"\u003eVertical Movement Speed\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eMax ~200 mm\/s\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 — Pitch: 0°–115°\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;\"\u003eColumn Joint\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e2-DOF — Vertical travel + 90° left\/right rotation\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\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;\"\u003eBase Type\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eFixed base with in-place Z-axis rotation\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;\"\u003eInspire Robots RH56E2-T1 Tactile Five-Finger Dexterous Hands (both arms, pre-installed) with wrist RGB camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eHand DOF\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e6 per hand\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eHand Joints\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e12 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;\"\u003eHand Weight\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e800 g per hand\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eHand Power\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e24V ±10% (Static 0.25A, Max 4A)\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;\"\u003eRepeatability\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e±0.20 mm (fingertip)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eThumb Max Grip Force\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e30 N\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;\"\u003eFour-Finger Max Grip Force\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e28 N\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eThumb Side\/Flex Speed\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e\u0026gt;130°\/s\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;\"\u003eFour-Finger Flexion Speed\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e\u0026gt;200°\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003ePalm Closing Time\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003e0.8 s\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;\"\u003e17 tactile sensors per hand (0–30 N range, ≤5% FS accuracy)\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 Camera\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eIncluded — RGB 1920×1080, FOV D:130°\/H:120°\/V:81°\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 — wide-angle humanoid-style dual-camera system\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 (PC1)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eIntel Core i5 (platform functionality)\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 (PC2)\u003c\/td\u003e\n\u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eIntel Core i7 (user development)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8fafc;\"\u003e\n\u003ctd style=\"padding: 14px 18px; border-botto\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"Unitree","offers":[{"title":"Default Title","offer_id":50065927667989,"sku":"H2-D-Standard-I","price":60500.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0760\/0157\/5189\/files\/H2-D-series.png?v=1785508614","url":"https:\/\/futurology.tech\/products\/unitree-h2d-standard-i-humanoid-robot","provider":"Futurology Tech","version":"1.0","type":"link"}