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Mobile-Base Dual-Arm Humanoid Robot with Dex3-1 Tactile Three-Finger Dexterous Hands, Wrist RGB Cameras & Onboard Orin Nano 40 TOPS. 20 DOF, 7-DOF Arms, MID360 LiDAR. The tactile-enabled entry to advanced mobile manipulation research.
R1-A7-D Smart C — mobile-base humanoid with 7-DOF arms, Dex3-1 Tactile three-finger hands, wrist RGB cameras, MID360 LiDAR & stereo vision
The R1-A7-D Smart C adds tactile sensing to three-finger dexterous manipulation. It pairs the R1-A7-D autonomous mobile base — complete with 7-DOF arms, MID360 LiDAR, stereo vision, and a removable chassis battery — with Dex3-1 Tactile three-finger dexterous hands, force-sensitive fingertip and palm arrays, and wrist-mounted RGB cameras. The built-in Orin Nano 40 TOPS fuses stereo vision, wrist cameras, and tactile streams in real time for multi-modal manipulation research.
The Dex3-1 Tactile builds on the proven three-finger dexterous architecture with force-sensitive tactile sensing at every fingertip and across the palm. Each finger retains independent actuation for adaptive grasping, while embedded pressure arrays measure contact forces, detect slip, and map pressure distribution across the grasp surface. This tactile layer transforms the Dex3-1 from a visually guided manipulator into a contact-aware system that can modulate grip force in real time, handle fragile objects, and explore unknown surfaces by touch. Pre-installed on both 7-DOF arms, the Dex3-1 Tactile turns the R1-A7-D into a mobile platform for multi-modal sensorimotor research.
Dex3-1 Tactile — force-sensitive three-finger dexterity for contact-aware mobile manipulation
Smart C closes the loop between seeing and feeling. The tactile sensor array streams force data at high frequency, enabling the robot to detect when an object is slipping, adjust grip force dynamically, and release fragile items with millisecond precision. Unlike vision-only systems that guess contact state from appearance, Smart C knows exactly where and how hard it is touching — essential for research in compliant manipulation, tactile exploration, and physical human-robot interaction. The Orin Nano 40 TOPS processes tactile streams alongside visual data, running force-aware control policies entirely onboard.
Tactile sensor arrays on fingertips and palm enable force-aware grasping and slip detection
Smart C fuses three complementary sensing modalities on the Orin Nano 40 TOPS: the head-mounted binocular camera provides global scene understanding, the wrist-mounted RGB cameras deliver local visual feedback during approach and grasp, and the tactile arrays report real-time contact forces and pressure distribution. This tactile-vision-wrist fusion creates a rich, multi-modal representation of the manipulation scene — enabling research in sensorimotor learning, cross-modal perception, and adaptive control that goes far beyond what any single sensor can achieve. All three streams are timestamp-synchronised and accessible through the open tactile API.
The R1-A7-D features seven degrees of freedom per arm — matching the kinematic complexity of the human upper limb. With a 555 mm reach (forearm + upper arm) and 120 Nm peak shoulder torque, these arms can reach around obstacles, maintain orientation while translating the end effector, and execute complex trajectories impossible for simpler 5- or 6-DOF manipulators. Crossed-roller and double-row ball bearings on every joint ensure smooth, precise motion with minimal backlash. Dual encoders per joint provide closed-loop accuracy for research-grade repeatability.
The R1-A7-D chassis adds 3 degrees of freedom to the upper body: a telescopic pillar for height adjustment and a 2-DOF wheeled base for omnidirectional navigation. Combined with the MID360 LiDAR and stereo camera head, the robot builds real-time maps, plans paths, and avoids obstacles autonomously — then stops precisely to manipulate. The removable lithium-ion battery in the chassis delivers approximately 1.5 hours of untethered operation. Please note: the upper body of this model does not accept a battery.
Smart A processes data from two complementary sensors: a MID360 360° LiDAR for metrically accurate mapping and long-range obstacle detection, and a binocular camera head (146°×124° FOV, 60 mm baseline) for colour vision, object recognition, and depth estimation. Fused on the Orin Nano 40 TOPS, this dual-modality perception stack supports research in visual-LiDAR SLAM, semantic navigation, and active perception for mobile manipulation.
The built-in NVIDIA Jetson Orin Nano delivers 40 TOPS of AI compute, running SLAM, path planning, object detection, and arm trajectory generation locally. No external GPU server, no cloud dependency — just power on and deploy. The module is pre-installed and thermally integrated with the chassis cooling system. Optional 40 or 100 TOPS compute expansion modules are available for future upgrades.
A binocular camera head delivers a 146° × 124° field of view with a 60 mm stereo baseline for scene-level understanding. RGB streams at 1280×720@30 Hz and depth at 544×448@10 Hz. Wrist-mounted RGB cameras and tactile sensor arrays on both arms add close-up visual and force feedback for multi-modal grasping. Combined with the MID360 LiDAR, the R1-A7-D Smart C offers a complete three-modal perception stack for research in tactile-vision fusion, semantic navigation, and contact-aware mobile manipulation.
Four-array beamforming microphones and dual 3 W speakers enable clear voice capture and synthesis in noisy labs, warehouses, or classrooms. The open audio framework supports custom wake words, multilingual TTS, and integration with LLMs for conversational command-and-control — even while the base is in motion.
At 683 × 520 × 440 mm collapsed (1323 mm elevated), the R1-A7-D Smart A navigates standard doorways, elevators, and lab aisles. The telescopic pillar lowers the upper body for transport and raises it for manipulation. At approximately 32 kg with battery, it is a self-contained mobile research platform — no external compute rack, no tether cables during operation.
Collapsed (683 mm) and elevated (1323 mm) configurations for navigation and manipulation
Unitree provides a mature, Linux-based robot development framework with open APIs for the underlying system, robotic arms, mobile base, audio, lighting, and visual control. ROS 2 native support, dual encoders on every arm joint, hollow internal wiring, and low-inertia, high-speed inner-rotor permanent magnet synchronous motors make the R1-A7-D Smart A a clean slate for reinforcement learning, mobile manipulation research, embodied AI, and autonomous navigation studies. The built-in Orin Nano 40 TOPS handles perception and planning locally without external hardware.
Smart A is the entry-level mobile configuration. Expand capability as your research evolves:
| Model | Unitree R1-A7-D Smart C (Mobile Base) |
| Dimensions (Collapsed) | 683 × 520 × 440 mm (H × W × D) |
| Dimensions (Elevated) | 1323 × 520 × 440 mm (H × W × D) |
| Weight (with Battery) | ~32 kg |
| Total DOF | 20 (Arm 7×2, Waist 1, Head 2, Pillar 1, Base 2) |
| Arm Reach | 555 mm (forearm + upper arm) |
| Peak Shoulder Torque | 120 Nm |
| Max Arm Payload | ~2 kg (posture-dependent) |
| End-Effector Precision | ±0.1 mm |
| End Effectors | Dex3-1 Tactile three-finger dexterous hands (both arms, pre-installed) |
| Wrist Cameras | RGB integrated (pre-installed, both wrists) |
| Tactile Sensing | Force-sensitive fingertips and palm arrays (pre-installed) |
| Vision | Binocular camera — RGB 1280×720@30 Hz, Depth 544×448@10 Hz, FOV 146°×124° |
| LiDAR | MID360 360° LiDAR (chassis-integrated) |
| Head Compute | 8-core high-performance CPU + 10 TOPS NPU |
| Body Compute | 8-core high-performance CPU |
| Onboard AI Compute | NVIDIA Jetson Orin Nano 40 TOPS (built-in) |
| Audio | 4-array microphone + dual 3 W speakers |
| Connectivity | Wi-Fi 6, Bluetooth 5.2, OTA updates |
| Power | Removable chassis Li-ion battery (~1.5 h) + external DC PSU. Upper body does not accept a battery. |
| Joint Bearings | Crossed-roller + Double-row ball bearings |
| Joint Motor | Low-inertia, high-speed, inner-rotor permanent magnet synchronous motor |
| Joint Encoders | Dual + Single per joint |
| Cabling | Hollow + Internal routing |
| Cooling | Localized air cooling |
| Waist Motion | Y: ±150° |
| Head Motion | Y: ±115°, P: ±36° |
| SDK & Interfaces | Linux-based framework, ROS 2, open APIs for arm/base/audio/vision/tactile/lighting. Tactile sensor streaming API included. |
| Controllers | Standard dual-hand controllers included |
| Rear Port Power | Yes |
| Smart OTA | Supported |
| Warranty | 12 months on the entire unit |
Every configuration shares the same R1-A7-D mobile base with 7-DOF arms — the difference is the end effector. Choose the one that matches your research goals:
| Config | Hand | Features |
|---|---|---|
| Smart A | Dex1-1 V2 | Entry-level parallel grippers, 7-DOF arms, Orin Nano 40 TOPS, MID360 LiDAR |
| Smart B | Dex3-1 (RGB) | 3-finger dexterous hand with wrist RGB camera |
| Smart C | Dex3-1 Tactile (RGB) | 3-finger hand with tactile sensors + wrist RGB camera, 7-DOF arms |
| Smart D | BrainCo Revo 2 Basic (RGB) | 5-finger anthropomorphic hand with wrist RGB camera |
| Smart E | BrainCo Revo 2 Tactile (RGB) | 5-finger hand with tactile sensors + wrist RGB camera |
| Smart F | LinkerBot O6 (RGB) | 6-DOF dexterous hand with wrist RGB camera |
| Smart G | LinkerBot O6 Tactile (RGB) | 6-DOF hand with tactile sensors + wrist RGB camera |
| Smart H | Tendon-driven dexterous hand | Advanced tendon-driven mechanism for research-grade dexterity |
* Specifications are based on manufacturer data and may vary slightly by production batch. Optional wrist cameras, compute modules, and alternative end effectors sold separately.
Unitree® is a registered trademark of Unitree Robotics. Images are for reference; actual product appearance may differ.
Users must maintain a sufficient safety distance. This is a civilian robot — comply with local laws and regulations.
Mobile-Base Dual-Arm Humanoid Robot with Dex3-1 Tactile Three-Finger Dexterous Hands, Wrist RGB Cameras & Onboard Orin Nano 40 TOPS. 20 DOF, 7-DOF Arms, MID360 LiDAR. The tactile-enabled entry to advanced mobile manipulation research.
R1-A7-D Smart C — mobile-base humanoid with 7-DOF arms, Dex3-1 Tactile three-finger hands, wrist RGB cameras, MID360 LiDAR & stereo vision
The R1-A7-D Smart C adds tactile sensing to three-finger dexterous manipulation. It pairs the R1-A7-D autonomous mobile base — complete with 7-DOF arms, MID360 LiDAR, stereo vision, and a removable chassis battery — with Dex3-1 Tactile three-finger dexterous hands, force-sensitive fingertip and palm arrays, and wrist-mounted RGB cameras. The built-in Orin Nano 40 TOPS fuses stereo vision, wrist cameras, and tactile streams in real time for multi-modal manipulation research.
The Dex3-1 Tactile builds on the proven three-finger dexterous architecture with force-sensitive tactile sensing at every fingertip and across the palm. Each finger retains independent actuation for adaptive grasping, while embedded pressure arrays measure contact forces, detect slip, and map pressure distribution across the grasp surface. This tactile layer transforms the Dex3-1 from a visually guided manipulator into a contact-aware system that can modulate grip force in real time, handle fragile objects, and explore unknown surfaces by touch. Pre-installed on both 7-DOF arms, the Dex3-1 Tactile turns the R1-A7-D into a mobile platform for multi-modal sensorimotor research.
Dex3-1 Tactile — force-sensitive three-finger dexterity for contact-aware mobile manipulation
Smart C closes the loop between seeing and feeling. The tactile sensor array streams force data at high frequency, enabling the robot to detect when an object is slipping, adjust grip force dynamically, and release fragile items with millisecond precision. Unlike vision-only systems that guess contact state from appearance, Smart C knows exactly where and how hard it is touching — essential for research in compliant manipulation, tactile exploration, and physical human-robot interaction. The Orin Nano 40 TOPS processes tactile streams alongside visual data, running force-aware control policies entirely onboard.
Tactile sensor arrays on fingertips and palm enable force-aware grasping and slip detection
Smart C fuses three complementary sensing modalities on the Orin Nano 40 TOPS: the head-mounted binocular camera provides global scene understanding, the wrist-mounted RGB cameras deliver local visual feedback during approach and grasp, and the tactile arrays report real-time contact forces and pressure distribution. This tactile-vision-wrist fusion creates a rich, multi-modal representation of the manipulation scene — enabling research in sensorimotor learning, cross-modal perception, and adaptive control that goes far beyond what any single sensor can achieve. All three streams are timestamp-synchronised and accessible through the open tactile API.
The R1-A7-D features seven degrees of freedom per arm — matching the kinematic complexity of the human upper limb. With a 555 mm reach (forearm + upper arm) and 120 Nm peak shoulder torque, these arms can reach around obstacles, maintain orientation while translating the end effector, and execute complex trajectories impossible for simpler 5- or 6-DOF manipulators. Crossed-roller and double-row ball bearings on every joint ensure smooth, precise motion with minimal backlash. Dual encoders per joint provide closed-loop accuracy for research-grade repeatability.
The R1-A7-D chassis adds 3 degrees of freedom to the upper body: a telescopic pillar for height adjustment and a 2-DOF wheeled base for omnidirectional navigation. Combined with the MID360 LiDAR and stereo camera head, the robot builds real-time maps, plans paths, and avoids obstacles autonomously — then stops precisely to manipulate. The removable lithium-ion battery in the chassis delivers approximately 1.5 hours of untethered operation. Please note: the upper body of this model does not accept a battery.
Smart A processes data from two complementary sensors: a MID360 360° LiDAR for metrically accurate mapping and long-range obstacle detection, and a binocular camera head (146°×124° FOV, 60 mm baseline) for colour vision, object recognition, and depth estimation. Fused on the Orin Nano 40 TOPS, this dual-modality perception stack supports research in visual-LiDAR SLAM, semantic navigation, and active perception for mobile manipulation.
The built-in NVIDIA Jetson Orin Nano delivers 40 TOPS of AI compute, running SLAM, path planning, object detection, and arm trajectory generation locally. No external GPU server, no cloud dependency — just power on and deploy. The module is pre-installed and thermally integrated with the chassis cooling system. Optional 40 or 100 TOPS compute expansion modules are available for future upgrades.
A binocular camera head delivers a 146° × 124° field of view with a 60 mm stereo baseline for scene-level understanding. RGB streams at 1280×720@30 Hz and depth at 544×448@10 Hz. Wrist-mounted RGB cameras and tactile sensor arrays on both arms add close-up visual and force feedback for multi-modal grasping. Combined with the MID360 LiDAR, the R1-A7-D Smart C offers a complete three-modal perception stack for research in tactile-vision fusion, semantic navigation, and contact-aware mobile manipulation.
Four-array beamforming microphones and dual 3 W speakers enable clear voice capture and synthesis in noisy labs, warehouses, or classrooms. The open audio framework supports custom wake words, multilingual TTS, and integration with LLMs for conversational command-and-control — even while the base is in motion.
At 683 × 520 × 440 mm collapsed (1323 mm elevated), the R1-A7-D Smart A navigates standard doorways, elevators, and lab aisles. The telescopic pillar lowers the upper body for transport and raises it for manipulation. At approximately 32 kg with battery, it is a self-contained mobile research platform — no external compute rack, no tether cables during operation.
Collapsed (683 mm) and elevated (1323 mm) configurations for navigation and manipulation
Unitree provides a mature, Linux-based robot development framework with open APIs for the underlying system, robotic arms, mobile base, audio, lighting, and visual control. ROS 2 native support, dual encoders on every arm joint, hollow internal wiring, and low-inertia, high-speed inner-rotor permanent magnet synchronous motors make the R1-A7-D Smart A a clean slate for reinforcement learning, mobile manipulation research, embodied AI, and autonomous navigation studies. The built-in Orin Nano 40 TOPS handles perception and planning locally without external hardware.
Smart A is the entry-level mobile configuration. Expand capability as your research evolves:
| Model | Unitree R1-A7-D Smart C (Mobile Base) |
| Dimensions (Collapsed) | 683 × 520 × 440 mm (H × W × D) |
| Dimensions (Elevated) | 1323 × 520 × 440 mm (H × W × D) |
| Weight (with Battery) | ~32 kg |
| Total DOF | 20 (Arm 7×2, Waist 1, Head 2, Pillar 1, Base 2) |
| Arm Reach | 555 mm (forearm + upper arm) |
| Peak Shoulder Torque | 120 Nm |
| Max Arm Payload | ~2 kg (posture-dependent) |
| End-Effector Precision | ±0.1 mm |
| End Effectors | Dex3-1 Tactile three-finger dexterous hands (both arms, pre-installed) |
| Wrist Cameras | RGB integrated (pre-installed, both wrists) |
| Tactile Sensing | Force-sensitive fingertips and palm arrays (pre-installed) |
| Vision | Binocular camera — RGB 1280×720@30 Hz, Depth 544×448@10 Hz, FOV 146°×124° |
| LiDAR | MID360 360° LiDAR (chassis-integrated) |
| Head Compute | 8-core high-performance CPU + 10 TOPS NPU |
| Body Compute | 8-core high-performance CPU |
| Onboard AI Compute | NVIDIA Jetson Orin Nano 40 TOPS (built-in) |
| Audio | 4-array microphone + dual 3 W speakers |
| Connectivity | Wi-Fi 6, Bluetooth 5.2, OTA updates |
| Power | Removable chassis Li-ion battery (~1.5 h) + external DC PSU. Upper body does not accept a battery. |
| Joint Bearings | Crossed-roller + Double-row ball bearings |
| Joint Motor | Low-inertia, high-speed, inner-rotor permanent magnet synchronous motor |
| Joint Encoders | Dual + Single per joint |
| Cabling | Hollow + Internal routing |
| Cooling | Localized air cooling |
| Waist Motion | Y: ±150° |
| Head Motion | Y: ±115°, P: ±36° |
| SDK & Interfaces | Linux-based framework, ROS 2, open APIs for arm/base/audio/vision/tactile/lighting. Tactile sensor streaming API included. |
| Controllers | Standard dual-hand controllers included |
| Rear Port Power | Yes |
| Smart OTA | Supported |
| Warranty | 12 months on the entire unit |
Every configuration shares the same R1-A7-D mobile base with 7-DOF arms — the difference is the end effector. Choose the one that matches your research goals:
| Config | Hand | Features |
|---|---|---|
| Smart A | Dex1-1 V2 | Entry-level parallel grippers, 7-DOF arms, Orin Nano 40 TOPS, MID360 LiDAR |
| Smart B | Dex3-1 (RGB) | 3-finger dexterous hand with wrist RGB camera |
| Smart C | Dex3-1 Tactile (RGB) | 3-finger hand with tactile sensors + wrist RGB camera, 7-DOF arms |
| Smart D | BrainCo Revo 2 Basic (RGB) | 5-finger anthropomorphic hand with wrist RGB camera |
| Smart E | BrainCo Revo 2 Tactile (RGB) | 5-finger hand with tactile sensors + wrist RGB camera |
| Smart F | LinkerBot O6 (RGB) | 6-DOF dexterous hand with wrist RGB camera |
| Smart G | LinkerBot O6 Tactile (RGB) | 6-DOF hand with tactile sensors + wrist RGB camera |
| Smart H | Tendon-driven dexterous hand | Advanced tendon-driven mechanism for research-grade dexterity |
* Specifications are based on manufacturer data and may vary slightly by production batch. Optional wrist cameras, compute modules, and alternative end effectors sold separately.
Unitree® is a registered trademark of Unitree Robotics. Images are for reference; actual product appearance may differ.
Users must maintain a sufficient safety distance. This is a civilian robot — comply with local laws and regulations.
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