{"product_id":"unitree-r1a7-smart-b-humanoid-robot","title":"Unitree R1-A7 Smart B 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 B\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 Three-Finger Dexterous Hands \u0026amp; Wrist RGB Cameras. 17 DOF, 7-DOF precision arms, 555 mm reach, Orin Nano 40 TOPS, stereo vision \u0026amp; full-stack open SDK. For advanced visual 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 B dual-arm humanoid robot with Dex3-1 three-finger dexterous hands and wrist RGB cameras\" 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 B — upper-body humanoid with Dex3-1 three-finger hands, wrist RGB cameras, 7-DOF arms \u0026amp; stereo vision\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- KEY SPECS --\u003e\n  \u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); gap: 16px; margin-bottom: 56px;\"\u003e\n    \u003cdiv style=\"background: linear-gradient(145deg, #f8fafc, #f1f5f9); border-radius: 16px; padding: 28px 16px; text-align: center; border: 1px solid #e2e8f0;\"\u003e\n      \u003cdiv style=\"font-size: 32px; font-weight: 800; color: #0ea5e9;\"\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;\"\u003e40\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 12px; color: #64748b; margin-top: 6px; text-transform: uppercase; letter-spacing: 0.8px; font-weight: 600;\"\u003eTOPS AI\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FEATURE: WHAT'S INCLUDED --\u003e\n  \u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n    \u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e\n    What's in This Configuration\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eR1-A7 Smart B\u003c\/strong\u003e steps up from entry-level grippers to \u003cstrong\u003ethree-finger dexterous manipulation\u003c\/strong\u003e with integrated wrist vision. It features the same \u003cstrong\u003eR1-A7 upper-body base\u003c\/strong\u003e with \u003cstrong\u003e7-DOF arms\u003c\/strong\u003e, \u003cstrong\u003e1-DOF waist\u003c\/strong\u003e (±150°), and \u003cstrong\u003e2-DOF head\u003c\/strong\u003e as Smart A, but replaces the parallel grippers with \u003cstrong\u003eDex3-1 three-finger dexterous hands\u003c\/strong\u003e and adds \u003cstrong\u003ewrist-mounted RGB cameras\u003c\/strong\u003e on each arm. The Dex3-1 hands provide adaptive three-finger grasping — tripod pinches, power grasps, and precision holds — that parallel grippers cannot achieve. Wrist cameras deliver a gripper's-eye view for visual servoing, grasp verification, and hand-eye coordination. Powered by the \u003cstrong\u003eNVIDIA Jetson Orin Nano 40 TOPS\u003c\/strong\u003e, Smart B handles visual perception, dexterous grasp planning, and arm control on board. At \u003cstrong\u003e~13 kg\u003c\/strong\u003e, it is a compact yet capable platform for visual manipulation 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 Three-Finger Dexterous Hands\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eAdaptive three-finger dexterous hands pre-installed on both arms for tripod pinches, power grasps, precision holds, and in-hand manipulation.\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n      \u003cdiv style=\"font-weight: 700; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Wrist-Mounted RGB Cameras\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eRGB cameras integrated into each wrist for close-up visual feedback, grasp verification, and hand-eye coordination during manipulation.\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"background: #f8fafc; border-radius: 12px; padding: 24px; border: 1px solid #e2e8f0;\"\u003e\n      \u003cdiv style=\"font-weight: 700; color: #0f172a; margin-bottom: 8px; font-size: 15px;\"\u003e✓ Orin Nano 40 TOPS\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eOnboard NVIDIA Jetson Orin Nano delivering 40 TOPS for stereo-wrist visual fusion, 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✓ Voice Interaction\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003e4-array beamforming mics + dual 3 W speakers. Wake-word, multilingual TTS, LLM integration ready.\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: DEX3-1 --\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 — Three-Finger Dexterity for Adaptive Grasping\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe \u003cstrong\u003eDex3-1\u003c\/strong\u003e is a \u003cstrong\u003ethree-finger dexterous hand\u003c\/strong\u003e that bridges the gap between simple parallel grippers and complex five-finger anthropomorphic designs. With three independently actuated fingers, it can form \u003cstrong\u003etripod pinches\u003c\/strong\u003e for spherical objects, \u003cstrong\u003epower grasps\u003c\/strong\u003e for cylindrical items, and \u003cstrong\u003eprecision holds\u003c\/strong\u003e for small or fragile parts. The third finger provides stability and adaptability that two-finger grippers lack — the hand can envelop irregular objects, apply distributed contact forces, and maintain grasp security even when the object shifts. On the R1-A7's 7-DOF arms, the Dex3-1 enables bimanual coordination studies: one hand holds a workpiece while the other manipulates it, or both hands cooperate to lift and orient larger objects. The hand's compact design keeps mass low at the wrist, preserving the arm's dynamic response and precision.\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 B with Dex3-1 three-finger dexterous hands\" style=\"width: 100%; display: block;\"\u003e\n    \u003cp style=\"font-size: 13px; color: #64748b; text-align: center; margin-top: 12px; font-style: italic;\"\u003eDex3-1 three-finger dexterous hands on the R1-A7 dual-arm platform for adaptive desktop grasping\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FEATURE: WRIST CAMERAS --\u003e\n  \u003ch2 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 16px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n    \u003cspan style=\"display: inline-block; width: 6px; height: 28px; background: #0ea5e9; border-radius: 3px;\"\u003e\u003c\/span\u003e\n    Wrist-Mounted RGB Cameras — See From the Gripper\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eSmart B adds \u003cstrong\u003ewrist-mounted RGB cameras\u003c\/strong\u003e to both arms — providing a gripper's-eye view of the workspace. These cameras capture close-up visual detail that the head-mounted stereo pair cannot: texture, surface geometry, and grasp point quality at the moment of contact. Combined with the Dex3-1's adaptability, wrist vision enables \u003cstrong\u003evisual servoing\u003c\/strong\u003e for precision grasp alignment, \u003cstrong\u003egrasp verification\u003c\/strong\u003e (did the fingers close on the target or miss?), and \u003cstrong\u003ein-hand tracking\u003c\/strong\u003e (monitoring object pose during manipulation). The Orin Nano 40 TOPS processes wrist streams alongside head stereo vision — running object detection and grasp pose estimation networks that would be impossible without dedicated wrist views. This two-scale visual hierarchy (wrist detail → head scene) is the foundation for visual dexterous manipulation research.\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 Manipulation\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eSmart B processes \u003cstrong\u003etwo synchronized visual streams\u003c\/strong\u003e on the Orin Nano 40 TOPS: scene-level depth and color from the head binocular camera, and close-up RGB from the wrist-mounted cameras. The head stereo provides global context — where objects are, what the scene layout looks like, and where the arms can move without collision. The wrist cameras provide local detail — grasp point quality, finger-object contact geometry, and real-time grasp verification. Fusing these two scales enables research in \u003cstrong\u003eactive perception\u003c\/strong\u003e (moving the hand to get a better view before grasping), \u003cstrong\u003evisual dexterous grasping\u003c\/strong\u003e (coordinating finger closure with visual feedback), and \u003cstrong\u003ehand-eye coordination\u003c\/strong\u003e (learning policies that map visual input to precise arm and finger motions). The 40 TOPS and 8 GB RAM handle both perception streams, grasp planning, and arm control simultaneously — though researchers pushing large vision models may eventually want the headroom of the Orin NX 100 TOPS upgrade.\u003c\/p\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 B 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  \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, the R1-A7 achieves human-like reach envelopes that cover a full semicircle of desktop or countertop space — ideal for collaborative tasks, 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 for Visual Manipulation\n  \u003c\/h2\u003e\n  \u003cp style=\"color: #475569; margin-bottom: 28px; font-size: 16px;\"\u003eThe built-in \u003cstrong\u003eNVIDIA Jetson Orin Nano\u003c\/strong\u003e delivers \u003cstrong\u003e40 TOPS\u003c\/strong\u003e of AI compute with a 6-core CPU and 8 GB RAM. For visual manipulation with three-finger hands and wrist cameras, this is sufficient to run real-time stereo depth estimation, wrist-based grasp pose detection, and arm trajectory planning — all on board. No external GPU server, no cloud dependency. The Orin Nano handles two-scale visual perception and arm control locally, making the R1-A7 Smart B a self-contained research platform for dexterous manipulation studies. Researchers working with larger vision-language models or multi-modal fusion may consider upgrading to the Orin NX 100 TOPS module for additional headroom.\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. Combined with wrist RGB cameras, the perception stack covers both scene-level and gripper-level visual understanding.\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 B 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 B upper-body humanoid front view with Dex3-1 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\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 B a clean slate for reinforcement learning, visual manipulation research, embodied AI, and human-robot interaction studies. The built-in Orin Nano 40 TOPS handles two-scale visual perception and arm control locally — with headroom to grow into tactile sensing, larger vision models, and more advanced end effectors as your research evolves.\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;\"\u003eSmart B is a visual dexterous manipulation platform ready to grow:\u003c\/p\u003e\n\n  \u003cul style=\"color: #475569; line-height: 2; padding-left: 22px; margin-bottom: 48px; font-size: 15px;\"\u003e\n    \u003cli\u003e\n\u003cstrong\u003eEnd Effectors\u003c\/strong\u003e — Upgrade to Dex3-1 Tactile for force-aware grasping, BrainCo Revo 2 for anthropomorphic manipulation, LinkerBot O6 for high-DOF dexterity, or tendon-driven hands for biomimetic research.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eTactile Sensing\u003c\/strong\u003e — Integrate force-sensitive fingertips for contact-aware grasping and slip detection.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eLarge Vision-Language Models\u003c\/strong\u003e — Run VLA policies and multi-modal foundation models locally with the Orin NX 100 TOPS upgrade.\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.\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;\"\u003eVisual Manipulation\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eHand-eye coordination, visual servoing, and grasp verification using wrist RGB cameras combined with head stereo vision and 7-DOF redundant arms.\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;\"\u003eDexterous Grasping\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eAdaptive three-finger grasping for irregular, spherical, and delicate objects with tripod pinches, power grasps, and precision holds.\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;\"\u003eActive Perception\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eMoving the hand and head to optimize visual views before grasping, and using wrist cameras for real-time grasp quality assessment.\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; Bimanual Coordination\u003c\/div\u003e\n      \u003cdiv style=\"font-size: 14px; color: #64748b;\"\u003eRL and imitation learning for dexterous policies, two-hand coordination, and multi-modal sensor fusion on a compact desktop platform.\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 B (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 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 (both wrists, pre-installed)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"background: #f8fafc;\"\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0; font-weight: 600;\"\u003eTactile Sensing\u003c\/td\u003e\n        \u003ctd style=\"padding: 14px 18px; border-bottom: 1px solid #e2e8f0;\"\u003eNot included\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\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\/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 B Humanoid Robot (upper body)\u003c\/li\u003e\n    \u003cli\u003eDex3-1 three-finger dexterous hands (pre-installed, both arms)\u003c\/li\u003e\n    \u003cli\u003eWrist-mounted RGB cameras (pre-installed, both wrists)\u003c\/li\u003e\n    \u003cli\u003eNVIDIA Jetson Orin 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 style=\"font-size: 24px; font-weight: bold; margin-top: 56px; margin-bottom: 20px; color: #0f172a; display: flex; align-items: center; gap: 10px;\"\u003e\n   \u003c\/h2\u003e\n\u003c\/div\u003e","brand":"Unitree","offers":[{"title":"Default Title","offer_id":50063871017237,"sku":"R1-A7-Smart-B","price":16390.0,"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-b-humanoid-robot","provider":"Futurology Tech","version":"1.0","type":"link"}