- Dex3-1 hands with touch sensing Each of the two three-finger hands carries 33 pressure sensors in 9 arrays, measuring from 10 g to 2500 g.
- 7 DOF per hand, 40 in all Thumb 3, index 2 and middle 2 joints per hand add 14 to the R1's 26 body joints.
- Unitree's hand figures Each Dex3-1 with sensors weighs 710 g, measures 175 × 88 × 77 mm, repeats to ±2 mm at the fingertip and grasps 500 g.
- 100 TOPS Jetson Orin backpack The development computer is an NVIDIA Jetson Orin module rated at 100 TOPS, with the dexterous-hand expansion module for the hands' power, signal and camera leads.
- Open for development Unitree's unitree_sdk2 in C++ and Python on DDS, compatible with ROS 2, plus URDF, STEP and MuJoCo models of the R1.
- Three fingers or five The Pro B is the touch-sensing three-finger configuration; the Pro D brings touch to five-finger BrainCo hands.
- 12-month manufacturer warranty Every R1 EDU carries Unitree's 12-month warranty.
Description
The Unitree R1 EDU Pro B (U4) gives the R1 humanoid hands that sense touch: two Unitree Dex3-1 three-finger hands, each with 33 pressure sensors in 9 arrays that measure from 10 g to 2500 g. With 7 degrees of freedom per hand the Pro B moves 40 joints in all, and it carries the same 100 TOPS Jetson Orin backpack as the other Pro configurations.
Unitree's figures for the Dex3-1 with sensors: 710 g and 175 × 88 × 77 mm per hand, ±2 mm repeatability at the fingertip and a 500 g grasp load on a 5 cm round object. Force control runs through 6 direct-drive and 1 gear-drive micro brushless joints per hand, and each hand connects to XT30 power, a signal port and a camera port on the backpack.
The robot underneath is the R1 EDU: 26 joints, about 1.23 m and 29 kg, a binocular depth camera, unitree_sdk2 in C++ and Python on DDS with ROS 2 compatibility, and URDF, STEP and MuJoCo models. The Pro B is the three-finger configuration for research into contact and grasping on a walking humanoid.
The R1 EDU Pro A (U3) has the same hands without the pressure sensors. Among the five-finger configurations, the R1 EDU Pro D (U6) pairs BrainCo Revo 2 Touch hands with a fingertip tactile module and the R1 EDU Pro C (U5) has Revo 2 hands without it. The R1 EDU Smart (U2) is the 100 TOPS robot without hands.
Key Capabilities
- Touch sensing: 33 pressure sensors per hand in 9 arrays, 10–2500 g.
- Hands: Two Unitree Dex3-1 three-finger hands, 7 DOF each; 40 DOF in all.
- Hand figures: 710 g, 175 × 88 × 77 mm, ±2 mm fingertip repeatability, 500 g grasp load.
- Computing backpack: NVIDIA Jetson Orin, 100 TOPS, with the dexterous-hand expansion module.
- Secondary development: unitree_sdk2 (C++, Python), DDS, ROS 2; URDF, STEP and MuJoCo models.
- Body: 1.23 m, 29 kg, binocular depth camera, 6000 mAh battery; 12-month warranty.
Buying through Robotix Market
This unit is sourced new through established distribution channels and ships worldwide with the manufacturer warranty. Technical support is coordinated with the manufacturer's own service network. Deployment scope, configuration, and commissioning responsibilities are agreed as part of the quotation — on-site installation is not included in the product price.
Official Product Videos
Features
Specs
| Brand | Unitree Robotics |
|---|---|
| Model | R1 EDU Pro B (U4); Unitree name: R1 EDU |
| Robot type | Bipedal humanoid robot |
| Size, standing | 1230 × 357 × 190 mm (height × width × thickness) |
| Size, folded | 690 × 450 × 300 mm |
| Weight | About 29 kg with battery |
| Colours | White or red; creative stickers to change the look |
| Body joints | 26 joint motors: 6 per leg, 5 per arm, 2 in the waist, 2 in the head |
| Total degrees of freedom | 40 (26 body joints + 14 active hand joints) |
| Leg and arm length | Calf + thigh 600 mm; forearm + upper arm 420 mm |
| Range of motion | Knee −10° to +139°; hip yaw ±157°, pitch −168° to +146°, roll −60° to +100°; waist yaw ±150°, roll ±30°; head yaw ±115°, pitch ±36° |
| Arm payload | About 2 kg per arm, varies greatly with arm posture |
| Drive | Low-inertia, high-speed inner-rotor PMSM joint motors; crossed roller and ball bearings; dual + single encoders; hollow internal wiring; local air cooling |
| Dexterous hands | 2 × Unitree Dex3-1 with touch sensors |
| Hand type | Three-finger, 7 DOF per hand |
| Hand drive | Force control: 6 direct-drive + 1 gear-drive micro brushless joints per hand |
| Touch sensing | 33 pressure sensors per hand in 9 arrays, 10–2500 g |
| Hand size and weight | 175 × 88 × 77 mm, 710 g per hand |
| Hand precision and load | ±2 mm fingertip repeatability; 500 g grasp load (5 cm round object) |
| Hand connections | Each hand connects to XT30 power, a signal port and a camera port on the backpack's dexterous-hand expansion module |
| Camera | Binocular depth camera in the head, 146° × 124° field of view; RGB 1280 × 720 at 30 Hz, depth 544 × 448 at 10 Hz |
| Computing | 8-core high-performance CPU + 10 TOPS visual computing module |
| Computing backpack | NVIDIA Jetson Orin, 100 TOPS (development computing unit) |
| Audio | 4-microphone array; stereo speakers, 3 W × 2 |
| Voice and image AI | Voice and image interaction through a large multimodal model when online; wake phrase "Hello Robot" or press-to-talk |
| Status light | 256-colour RGB chest light showing the robot's state |
| Wireless | Wi-Fi 6, Bluetooth 5.2 |
| Top panel | XT30 power outputs 24 V / 3 A and 36 V / 5 A; RJ45 gigabit Ethernet; stand-up / lie-down button |
| Battery | Quick-release smart battery, 6000 mAh |
| Run time | About 1 h per battery (less with fast walking, load or uneven ground) |
| Charger | 100–240 V input; 38 V, 3 A, 114 W output; about 1.5 h per charge, battery charged outside the robot |
| Remote control | Hard emergency-stop button and soft stop (L2 + B); 780 mAh, about 5 h; more than 100 m in an open environment |
| Control and updates | Unitree Explore app (iOS, Android), remote control and voice; smart OTA upgrades |
| Built-in actions | Running mode (low or high speed); dance modes including Kung Fu, Jeet Kune Do and Twist; gestures such as handshake, wave and clap |
| Secondary development | unitree_sdk2 in C++ and Python on DDS; compatible with ROS 2 (Foxy, Humble); high-level and joint-level control |
| Simulation models | URDF, STEP and MuJoCo models of the R1 |
| Navigation | Optional LiDAR for Unitree's SLAM and navigation service (static, flat indoor spaces under 45 m) |
| Operating environment | 0–40 °C on flat ground; not waterproof, not dustproof |
| Warranty | 12 months |
| In the box | The robot in a hard transport case, a quick-release R1 smart battery, the charger and charging cable, a remote control with emergency stop, a stand set (base, support rod, bracket, quick-release clamp, wave washer and protective foam), a calibration steel shaft, body stickers and the user manual; as an R1 EDU, the computing backpack with its NVIDIA Jetson Orin module (100 TOPS), expansion rails, screws, the dexterous-hand expansion module and its leads; two Unitree Dex3-1 hands with touch sensors with fixing brackets, camera brackets and cables. Full packing list confirmed with your quotation |
Industries
Product Brochure
Unitree Robotics R1 EDU Pro B (U4) – Product Brochure
The Robotix Market brochure with every capability and the full technical specification — to save, print or forward.
Download Brochure (PDF)Frequently Asked Questions
The Unitree Robotics R1 EDU Pro B (U4) is priced at Rs. 3,052,600 in your market. For volume or project orders, contact us for a business quote.
The Pro B and the R1 EDU Pro A (U3) share two Unitree Dex3-1 three-finger hands; only the Pro B's carry 33 pressure sensors each. The R1 EDU Pro C (U5) and R1 EDU Pro D (U6) use five-finger BrainCo Revo 2 hands (11 DOF, 6 active, each; 38 DOF in all), and only the Pro D's have a fingertip tactile module. All four run on the 100 TOPS backpack.
Each Dex3-1 hand carries 33 pressure sensors in 9 arrays, with a range of 10 g to 2500 g, so contact and grip pressure can be read across the fingers and palm. Unitree's figures for this hand: 710 g, 175 × 88 × 77 mm, ±2 mm fingertip repeatability and a 500 g grasp load.
Unitree's R1 unboxing film shows the robot in a hard transport case, a quick-release R1 smart battery, the charger and charging cable, a remote control with emergency stop, a stand set (base, support rod, bracket, quick-release clamp, wave washer and protective foam), a calibration steel shaft, body stickers and the user manual. As an R1 EDU it adds the computing backpack with its NVIDIA Jetson Orin module (100 TOPS), expansion rails, screws, the dexterous-hand expansion module and its leads. The Pro B (U4) also comes with its two Unitree Dex3-1 hands with touch sensors, their fixing brackets, camera brackets and cables. Unitree publishes no written packing list per edition, so we confirm the full list for your configuration with your quotation.
Unitree does not recommend it. During development, avoid violent movements such as running or balance tests while the dexterous hands are fitted, and increase the shoulder motors' outward offset so the hands do not collide with the body.
The R1 EDU's: unitree_sdk2 in C++ and Python on DDS, compatible with ROS 2, with high-level and joint-level control, running on the backpack's 100 TOPS development computing unit, plus URDF, STEP and MuJoCo models of the R1 from Unitree.
Like every R1 EDU, the R1 EDU Pro B (U4) carries Unitree's 12-month manufacturer warranty (the R1 Basic: 8 months). It is sourced new through established distribution channels and ships worldwide, and technical support is coordinated with the manufacturer's service network. Unitree's R1 developer guide covers the SDK, the computing backpack and fitting the hands.
Recently Viewed
You haven't viewed any products yet.
