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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.

Unitree R1-A5-D Smart C mobile-base dual-arm humanoid robot with Dex3-1 Tactile 3-finger hands and wrist RGB cameras

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.

Unitree R1-A5-D Smart C with Dex3-1 Tactile 3-finger hands and wrist RGB cameras

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.

Unitree R1-A5-D mobile base with collapsed and elevated configurations

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.

Unitree R1-A5-D Smart C mobile-base dual-arm humanoid robot with Dex3-1 Tactile 3-finger hands and wrist RGB cameras

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.

Unitree R1-A5-D Smart C with Dex3-1 Tactile 3-finger hands and wrist RGB cameras

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.

Unitree R1-A5-D mobile base with collapsed and elevated configurations

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

Regular price
$21,790.00
Sale price
$21,790.00
Regular price
Shipping calculated at checkout.
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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