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Description
Unitree Robotics
Unitree R1-A5-D Smart C
Mobile-Base Dual-Arm Humanoid Robot with Dex3-1 Tactile 3-Finger Hands & Wrist RGB Cameras. 16 DOF, Orin Nano 40 TOPS, MID360 LiDAR, stereo vision & full-stack open SDK. For tactile mobile manipulation research.
R1-A5-D Smart C — mobile-base humanoid with Dex3-1 Tactile 3-finger hands, wrist RGB cameras, MID360 LiDAR & stereo vision
16
Total DOF
5+5
Arm DOF
60
Nm Torque
~2
kg Payload
40
TOPS AI
What's in This Configuration
The R1-A5-D Smart C adds tactile sensing to the 3-finger dexterity of the Dex3-1 platform. Force-sensitive fingertips and palm arrays on each hand enable pressure mapping, contact detection, and slip prediction — all while navigating autonomously on the R1-A5-D mobile base with MID360 LiDAR and stereo vision. The built-in Orin Nano 40 TOPS fuses tactile, visual, and LiDAR streams for a complete multi-modal mobile manipulation pipeline.
✓ R1-A5-D Mobile Base Body
Full upper-body humanoid on a wheeled autonomous chassis: dual 5-DOF arms, 1-DOF waist, 2-DOF head, 1-DOF pillar, 2-DOF base. 683×520×440 mm collapsed, ~30 kg with battery.
✓ Dex3-1 Tactile 3-Finger Hands
Three-finger dexterous hands with integrated tactile sensors pre-installed on both arms for force-aware adaptive grasping on a mobile platform.
✓ Tactile Sensor Array
Force-sensitive fingertips and palm regions on each hand enabling pressure mapping, contact detection, and slip prediction during mobile manipulation.
✓ Wrist RGB Cameras
Dedicated RGB cameras mounted on each wrist for close-up visual feedback, pose estimation, and grasp verification during navigation and manipulation.
✓ MID360 LiDAR
360° surround LiDAR integrated into the mobile chassis for real-time SLAM, obstacle avoidance, and autonomous navigation.
✓ Orin Nano 40 TOPS
Built-in NVIDIA Jetson Orin Nano delivering 40 TOPS for tactile-visual fusion, navigation, arm control, and wrist-camera processing.
Dex3-1 Tactile — Feel What You Grasp
The Dex3-1 Tactile takes the three-finger dexterity of the standard Dex3-1 and adds an array of force-sensitive tactile sensors integrated into the fingertips and palm surfaces. This enables real-time pressure mapping and contact detection across adaptive grasp configurations — critical for force-controlled manipulation on a moving platform, compliant grasping of fragile objects, and physical human-robot interaction where both dexterity and touch matter simultaneously.
Dex3-1 Tactile 3-finger hands with force-sensitive sensors and wrist RGB cameras
Tactile-Visual Fusion — Multi-Modal Perception on the Move
Smart C processes synchronized streams from four sensor modalities on the Orin Nano 40 TOPS: tactile pressure maps from each 3-finger hand, close-up RGB from wrist cameras, scene-level depth from the head binocular camera, and 360° point clouds from the MID360 LiDAR. This rich multi-modal fusion enables research in tactile-visual servoing for mobile manipulation, affordance prediction with force awareness, slip-compensated grasping while navigating, and sensorimotor learning across perception and locomotion — domains where any single modality is insufficient.
Autonomous Mobile Base — Navigate, Then Manipulate
The R1-A5-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.
LiDAR + Stereo Vision + Tactile — Complete Perception Stack
Smart C processes data from five complementary sensors: a MID360 360° LiDAR for metrically accurate mapping, a binocular camera head for scene-level vision, dedicated wrist RGB cameras on each arm for close-up grasp feedback, and tactile arrays on each Dex3-1 hand for force-aware contact detection. Fused on the Orin Nano 40 TOPS, this multi-modality perception stack supports research in tactile-visual-LiDAR fusion, force-aware mobile manipulation, and multi-modal sensorimotor learning.
Orin Nano 40 TOPS — AI Compute for Tactile Mobile Control
The built-in NVIDIA Jetson Orin Nano delivers 40 TOPS of AI compute, running SLAM, path planning, tactile-visual fusion, 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.
Binocular Vision & Multi-Camera Perception
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. Combined with the MID360 LiDAR, wrist RGB cameras, and tactile arrays on each Dex3-1 Tactile hand, the R1-A5-D Smart C offers the most complete perception stack for research in multi-modal mobile manipulation and active perception.
Voice Collaboration & Natural Interaction
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.
Collapsible. Mobile. Ready to Deploy.
At 683 × 520 × 440 mm collapsed (1323 mm elevated), the R1-A5-D Smart C navigates standard doorways, elevators, and lab aisles. The telescopic pillar lowers the upper body for transport and raises it for manipulation. At approximately 30 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
Full-Stack Open Development
Unitree provides a mature, Linux-based robot development framework with open APIs for the underlying system, robotic arms, mobile base, audio, lighting, visual control, and tactile sensing. ROS 2 native support, dual encoders on every arm joint, and hollow internal wiring make the R1-A5-D Smart C a clean slate for reinforcement learning, tactile mobile manipulation research, embodied AI, and autonomous navigation studies. The built-in Orin Nano 40 TOPS handles multi-modal perception and planning locally without external hardware.
Upgrade Path — Grow With Your Research
Smart C is the first tactile mobile configuration. Expand capability as your research evolves:
- End Effectors — Upgrade to BrainCo Revo 2, LinkerBot O6, or tendon-driven hands for anthropomorphic dexterity and higher-DOF control.
- Compute Module — Swap to the 100 TOPS expansion for large-model inference, multi-modal learning, and multi-robot coordination.
Designed For
Tactile Mobile Manipulation
Force-controlled grasping, compliant manipulation, and adaptive grip strength while navigating between workstations.
Multi-Modal Sensorimotor Learning
RL and imitation learning combining tactile, visual, LiDAR, and proprioceptive feedback across locomotion and manipulation.
Physical Human-Robot Interaction
Safe physical HRI with force-aware compliance, contact detection, and adaptive grip strength on a mobile platform.
Advanced University Research
Cutting-edge mobile manipulation, tactile control theory, neuroscience-inspired robotics, and AI integration.
Technical Specifications
| Model | Unitree R1-A5-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) | ~30 kg |
| Total DOF | 16 (Arm 5×2, Waist 1, Head 2, Pillar 1, Base 2) |
| Arm Reach | 420 mm (forearm + upper arm) |
| Peak Shoulder Torque | 60 Nm |
| Max Arm Payload | ~2 kg (posture-dependent) |
| End-Effector Precision | ±0.1 mm |
| End Effectors | Dex3-1 Tactile 3-finger dexterous hands with wrist RGB cameras (both arms, pre-installed) |
| Wrist Cameras | RGB camera integrated into each Dex3-1 Tactile hand for close-up visual feedback |
| Tactile Sensing | Force-sensitive fingertips and palm arrays on each hand for pressure mapping, contact detection, and slip prediction |
| 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. |
| SDK & Interfaces | Linux-based framework, ROS 2, open APIs for arm/base/audio/vision/tactile/lighting |
| Controllers | Standard dual-hand controllers included |
| Warranty | 12 months on the entire unit |
What's in the Box
- Unitree R1-A5-D Smart C Humanoid Robot (mobile base)
- Dex3-1 Tactile 3-finger dexterous hands with wrist RGB cameras (pre-installed, both arms)
- NVIDIA Jetson Orin Nano 40 TOPS compute module (pre-installed)
- Removable chassis lithium-ion battery pack
- External power supply & AC cable
- MID360 LiDAR module (pre-installed in chassis)
- Binocular vision head module (pre-installed)
- 4-array microphone + dual speaker module (pre-installed)
- Standard dual-hand remote controllers
- Quick-start guide & safety manual
- Secondary development documentation access
R1-A5-D Configuration Guide
Every configuration shares the same R1-A5-D mobile base — 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, 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 |
| 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 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.
Description
Unitree Robotics
Unitree R1-A5-D Smart C
Mobile-Base Dual-Arm Humanoid Robot with Dex3-1 Tactile 3-Finger Hands & Wrist RGB Cameras. 16 DOF, Orin Nano 40 TOPS, MID360 LiDAR, stereo vision & full-stack open SDK. For tactile mobile manipulation research.
R1-A5-D Smart C — mobile-base humanoid with Dex3-1 Tactile 3-finger hands, wrist RGB cameras, MID360 LiDAR & stereo vision
16
Total DOF
5+5
Arm DOF
60
Nm Torque
~2
kg Payload
40
TOPS AI
What's in This Configuration
The R1-A5-D Smart C adds tactile sensing to the 3-finger dexterity of the Dex3-1 platform. Force-sensitive fingertips and palm arrays on each hand enable pressure mapping, contact detection, and slip prediction — all while navigating autonomously on the R1-A5-D mobile base with MID360 LiDAR and stereo vision. The built-in Orin Nano 40 TOPS fuses tactile, visual, and LiDAR streams for a complete multi-modal mobile manipulation pipeline.
✓ R1-A5-D Mobile Base Body
Full upper-body humanoid on a wheeled autonomous chassis: dual 5-DOF arms, 1-DOF waist, 2-DOF head, 1-DOF pillar, 2-DOF base. 683×520×440 mm collapsed, ~30 kg with battery.
✓ Dex3-1 Tactile 3-Finger Hands
Three-finger dexterous hands with integrated tactile sensors pre-installed on both arms for force-aware adaptive grasping on a mobile platform.
✓ Tactile Sensor Array
Force-sensitive fingertips and palm regions on each hand enabling pressure mapping, contact detection, and slip prediction during mobile manipulation.
✓ Wrist RGB Cameras
Dedicated RGB cameras mounted on each wrist for close-up visual feedback, pose estimation, and grasp verification during navigation and manipulation.
✓ MID360 LiDAR
360° surround LiDAR integrated into the mobile chassis for real-time SLAM, obstacle avoidance, and autonomous navigation.
✓ Orin Nano 40 TOPS
Built-in NVIDIA Jetson Orin Nano delivering 40 TOPS for tactile-visual fusion, navigation, arm control, and wrist-camera processing.
Dex3-1 Tactile — Feel What You Grasp
The Dex3-1 Tactile takes the three-finger dexterity of the standard Dex3-1 and adds an array of force-sensitive tactile sensors integrated into the fingertips and palm surfaces. This enables real-time pressure mapping and contact detection across adaptive grasp configurations — critical for force-controlled manipulation on a moving platform, compliant grasping of fragile objects, and physical human-robot interaction where both dexterity and touch matter simultaneously.
Dex3-1 Tactile 3-finger hands with force-sensitive sensors and wrist RGB cameras
Tactile-Visual Fusion — Multi-Modal Perception on the Move
Smart C processes synchronized streams from four sensor modalities on the Orin Nano 40 TOPS: tactile pressure maps from each 3-finger hand, close-up RGB from wrist cameras, scene-level depth from the head binocular camera, and 360° point clouds from the MID360 LiDAR. This rich multi-modal fusion enables research in tactile-visual servoing for mobile manipulation, affordance prediction with force awareness, slip-compensated grasping while navigating, and sensorimotor learning across perception and locomotion — domains where any single modality is insufficient.
Autonomous Mobile Base — Navigate, Then Manipulate
The R1-A5-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.
LiDAR + Stereo Vision + Tactile — Complete Perception Stack
Smart C processes data from five complementary sensors: a MID360 360° LiDAR for metrically accurate mapping, a binocular camera head for scene-level vision, dedicated wrist RGB cameras on each arm for close-up grasp feedback, and tactile arrays on each Dex3-1 hand for force-aware contact detection. Fused on the Orin Nano 40 TOPS, this multi-modality perception stack supports research in tactile-visual-LiDAR fusion, force-aware mobile manipulation, and multi-modal sensorimotor learning.
Orin Nano 40 TOPS — AI Compute for Tactile Mobile Control
The built-in NVIDIA Jetson Orin Nano delivers 40 TOPS of AI compute, running SLAM, path planning, tactile-visual fusion, 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.
Binocular Vision & Multi-Camera Perception
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. Combined with the MID360 LiDAR, wrist RGB cameras, and tactile arrays on each Dex3-1 Tactile hand, the R1-A5-D Smart C offers the most complete perception stack for research in multi-modal mobile manipulation and active perception.
Voice Collaboration & Natural Interaction
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.
Collapsible. Mobile. Ready to Deploy.
At 683 × 520 × 440 mm collapsed (1323 mm elevated), the R1-A5-D Smart C navigates standard doorways, elevators, and lab aisles. The telescopic pillar lowers the upper body for transport and raises it for manipulation. At approximately 30 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
Full-Stack Open Development
Unitree provides a mature, Linux-based robot development framework with open APIs for the underlying system, robotic arms, mobile base, audio, lighting, visual control, and tactile sensing. ROS 2 native support, dual encoders on every arm joint, and hollow internal wiring make the R1-A5-D Smart C a clean slate for reinforcement learning, tactile mobile manipulation research, embodied AI, and autonomous navigation studies. The built-in Orin Nano 40 TOPS handles multi-modal perception and planning locally without external hardware.
Upgrade Path — Grow With Your Research
Smart C is the first tactile mobile configuration. Expand capability as your research evolves:
- End Effectors — Upgrade to BrainCo Revo 2, LinkerBot O6, or tendon-driven hands for anthropomorphic dexterity and higher-DOF control.
- Compute Module — Swap to the 100 TOPS expansion for large-model inference, multi-modal learning, and multi-robot coordination.
Designed For
Tactile Mobile Manipulation
Force-controlled grasping, compliant manipulation, and adaptive grip strength while navigating between workstations.
Multi-Modal Sensorimotor Learning
RL and imitation learning combining tactile, visual, LiDAR, and proprioceptive feedback across locomotion and manipulation.
Physical Human-Robot Interaction
Safe physical HRI with force-aware compliance, contact detection, and adaptive grip strength on a mobile platform.
Advanced University Research
Cutting-edge mobile manipulation, tactile control theory, neuroscience-inspired robotics, and AI integration.
Technical Specifications
| Model | Unitree R1-A5-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) | ~30 kg |
| Total DOF | 16 (Arm 5×2, Waist 1, Head 2, Pillar 1, Base 2) |
| Arm Reach | 420 mm (forearm + upper arm) |
| Peak Shoulder Torque | 60 Nm |
| Max Arm Payload | ~2 kg (posture-dependent) |
| End-Effector Precision | ±0.1 mm |
| End Effectors | Dex3-1 Tactile 3-finger dexterous hands with wrist RGB cameras (both arms, pre-installed) |
| Wrist Cameras | RGB camera integrated into each Dex3-1 Tactile hand for close-up visual feedback |
| Tactile Sensing | Force-sensitive fingertips and palm arrays on each hand for pressure mapping, contact detection, and slip prediction |
| 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. |
| SDK & Interfaces | Linux-based framework, ROS 2, open APIs for arm/base/audio/vision/tactile/lighting |
| Controllers | Standard dual-hand controllers included |
| Warranty | 12 months on the entire unit |
What's in the Box
- Unitree R1-A5-D Smart C Humanoid Robot (mobile base)
- Dex3-1 Tactile 3-finger dexterous hands with wrist RGB cameras (pre-installed, both arms)
- NVIDIA Jetson Orin Nano 40 TOPS compute module (pre-installed)
- Removable chassis lithium-ion battery pack
- External power supply & AC cable
- MID360 LiDAR module (pre-installed in chassis)
- Binocular vision head module (pre-installed)
- 4-array microphone + dual speaker module (pre-installed)
- Standard dual-hand remote controllers
- Quick-start guide & safety manual
- Secondary development documentation access
R1-A5-D Configuration Guide
Every configuration shares the same R1-A5-D mobile base — 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, 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 |
| 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 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.
Unitree
by
Unitree
Unitree R1-A5-D Smart C Humanoid Robot
SKU:
R1-A5-D-Smart-C
- Regular price
- $21,790.00
- Sale price
- $21,790.00
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Providing the best new Tech Experience, Energy Independence and Robotics Ways of Optimisation
Providing the best new Tech Experience, Energy Independence and Robotics Ways of Optimisation
Packaging note:
Equipment is being supplied in a manufacturer packaging
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