About
Description
Unitree Robotics
Unitree R1-A7-D Smart C
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.
20
Total DOF
7+7
Arm DOF
120
Nm Torque
~2
kg Payload
40
TOPS AI
What's in This Configuration
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.
✓ R1-A7-D Mobile Base Body
Full upper-body humanoid on a wheeled autonomous chassis: dual 7-DOF arms, 1-DOF waist, 2-DOF head, 1-DOF pillar, 2-DOF base. 683×520×440 mm collapsed, ~32 kg with battery.
✓ Dex3-1 Tactile Three-Finger Hands
Three-finger dexterous hands with independent finger actuation and force-sensitive tactile sensors pre-installed on both arms for adaptive, contact-aware grasping.
✓ Tactile Sensor Array
Force-sensitive fingertips and palm arrays pre-installed on both hands for slip detection, dynamic force modulation, and tactile exploration.
✓ Wrist RGB Cameras
Wrist-mounted RGB cameras pre-installed on both arms for close-up visual feedback, grasp pose estimation, and visual servoing during 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 fusing vision, tactile, and navigation streams in real time.
✓ Full-Stack Open SDK
Linux framework, ROS 2 native, open APIs for arms, base, audio, vision, tactile, lighting. Dual encoders per joint. Crossed-roller + double-row ball bearings.
Dex3-1 Tactile — Three-Finger Dexterity That Feels
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.
Tactile Grasping — Force-Aware Dexterity at Your Desktop
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-Vision-Wrist Fusion — Three-Modal Perception for Manipulation
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.
7-DOF Arms — Human-Like Redundancy & Reach
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.
Autonomous Mobile Base — Navigate, Then Manipulate
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.
LiDAR + Stereo Vision — Complete Perception Stack
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.
Orin Nano 40 TOPS — Onboard AI for Navigation & Control
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.
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. 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.
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-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.
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, 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.
Upgrade Path — Grow With Your Research
Smart A is the entry-level mobile configuration. Expand capability as your research evolves:
- End Effectors — Upgrade to BrainCo Revo 2, LinkerBot O6, or tendon-driven hands for anthropomorphic or high-DOF dexterity.
- Large VLM — Deploy vision-language models for natural-language task specification and scene understanding.
- Compute — Swap to the 100 TOPS expansion for large-model inference, multi-modal fusion, and multi-robot coordination.
Designed For
Tactile Manipulation Research
Force-aware grasping, slip detection, dynamic grip modulation, and compliant manipulation on a mobile dual-arm platform.
Multi-Modal Sensorimotor Learning
Cross-modal perception fusing vision, tactile, and proprioception for embodied AI and adaptive control research.
Physical Human-Robot Interaction
Safe contact-rich interaction, tactile exploration, and force-sensitive handover in shared human-robot environments.
Advanced University Research
Cutting-edge research in tactile-vision fusion, in-hand manipulation, and mobile sensorimotor learning.
Technical Specifications
Description
Unitree Robotics
Unitree R1-A7-D Smart C
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.
20
Total DOF
7+7
Arm DOF
120
Nm Torque
~2
kg Payload
40
TOPS AI
What's in This Configuration
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.
✓ R1-A7-D Mobile Base Body
Full upper-body humanoid on a wheeled autonomous chassis: dual 7-DOF arms, 1-DOF waist, 2-DOF head, 1-DOF pillar, 2-DOF base. 683×520×440 mm collapsed, ~32 kg with battery.
✓ Dex3-1 Tactile Three-Finger Hands
Three-finger dexterous hands with independent finger actuation and force-sensitive tactile sensors pre-installed on both arms for adaptive, contact-aware grasping.
✓ Tactile Sensor Array
Force-sensitive fingertips and palm arrays pre-installed on both hands for slip detection, dynamic force modulation, and tactile exploration.
✓ Wrist RGB Cameras
Wrist-mounted RGB cameras pre-installed on both arms for close-up visual feedback, grasp pose estimation, and visual servoing during 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 fusing vision, tactile, and navigation streams in real time.
✓ Full-Stack Open SDK
Linux framework, ROS 2 native, open APIs for arms, base, audio, vision, tactile, lighting. Dual encoders per joint. Crossed-roller + double-row ball bearings.
Dex3-1 Tactile — Three-Finger Dexterity That Feels
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.
Tactile Grasping — Force-Aware Dexterity at Your Desktop
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-Vision-Wrist Fusion — Three-Modal Perception for Manipulation
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.
7-DOF Arms — Human-Like Redundancy & Reach
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.
Autonomous Mobile Base — Navigate, Then Manipulate
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.
LiDAR + Stereo Vision — Complete Perception Stack
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.
Orin Nano 40 TOPS — Onboard AI for Navigation & Control
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.
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. 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.
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-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.
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, 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.
Upgrade Path — Grow With Your Research
Smart A is the entry-level mobile configuration. Expand capability as your research evolves:
- End Effectors — Upgrade to BrainCo Revo 2, LinkerBot O6, or tendon-driven hands for anthropomorphic or high-DOF dexterity.
- Large VLM — Deploy vision-language models for natural-language task specification and scene understanding.
- Compute — Swap to the 100 TOPS expansion for large-model inference, multi-modal fusion, and multi-robot coordination.
Designed For
Tactile Manipulation Research
Force-aware grasping, slip detection, dynamic grip modulation, and compliant manipulation on a mobile dual-arm platform.
Multi-Modal Sensorimotor Learning
Cross-modal perception fusing vision, tactile, and proprioception for embodied AI and adaptive control research.
Physical Human-Robot Interaction
Safe contact-rich interaction, tactile exploration, and force-sensitive handover in shared human-robot environments.
Advanced University Research
Cutting-edge research in tactile-vision fusion, in-hand manipulation, and mobile sensorimotor learning.
Technical Specifications
Unitree
by
Unitree
Unitree R1-A7-D Smart C Humanoid Robot
- Regular price
- $22,390.00
- Sale price
- $22,390.00
- 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
