A 1

The A1 from Unitree Robotics is currently the fastest and most stable small four-legged robot on the market. The patented movement system enables high-speed operation, i.e. a continuous running speed at 3.3 m/s. It is capable of maneuvering around, avoiding obstacles and self-recovering after a fall or impact.

Thanks to the affordable price, the little robo-dog is the ideal choice for scientific research, but also for the entertainment industry.

product properties

Load capacity: 5 kg
Duration of use: approx. 1 – 2.5 hours
2 real-time operating systems
3 protection modes
4 foot pressure sensors - accurate access to foot pressure information more reliable, efficient and convenient
several external interfaces: 2x HDMI, 2x Ethernet port, 4x USB 3.0
electric motor:
Joint torque: 33.5 NM
Maximum joint speed: 21 rad/s
quick disassembly and easy assembly
Industry-standard cross roller bearing, long life, axial shock resistance
Access to all sensor data
Position, speed and torque specifications can be sent separately for each motor
excellent sporting properties:
maximum continuous outdoor running speed at 3.3 m/s (11.88 km/h)
The fastest and most stable small to medium-sized four-legged robot on the market (world record: 3.7 m/s on a treadmill from MIT)
reliable stability:
The advanced dynamic balancing algorithm enables the A1 to quickly regain balance in various situations such as impact or fall.
intelligent multi-eye depth camera:
Active infrared stereo depth technology
1080 pixels camera resolution
Depth range: 0.3 - 10m
Error accuracy within 2 meters: < 2%
HD video transmission in real time
patented movement system
excellent performance that is perfect for all types of robotic competitions
crucial for high-speed operation
Patented body structure and design
High strength and lightweight body structure. Easy to wait. 24V external power input. 5V, 12V, 19V power supply. Convenient for additional external components.
Equipped with powerful dual master control (scan master control and motion master control).
External interface: 4 USB, 2 HDMI, 2* Ethernet
Equipped with RealSense depth cameras as standard.
Capable of map making and obstacle avoidance.
Patented sensory foot contact
Integrated force sensor at each foot end. Convenient for the robot to know the real-time contact state of the feet in any situation.
More accurate and sensitive than systems that estimate foot contact based on motor current.
Integrated foot contact sensor with estimated motor current sensor at foot end, resulting in higher sensitivity and reliability
The foot end is waterproof and dustproof and can be easily replaced after wear.
Vision-based autonomous object tracking
Real-time tracking of objects in sight.
Support online machine learning of the target features.
Display of tracking reliability using a color box (green → red, 100% → 0%).
people tracking
dynamic obstacle avoidance
Avoiding obstacles within 0.8 m of the robot's field of view
Object shape detection to adjust body position
Real-time display of the robot body orientation, the maximum distance and area within the viewing angle, and the range of the running track.
visual SLAM
gesture recognition
Optionally mount high-precision lidar
Supports mapping, autonomous positioning, navigation planning, and dynamic obstacle avoidance
User-friendly interface
The user PC can directly connect the robot's built-in dual main controller and bottom controller with Ethernet.
Convenient for real-time data transmission such as B. visual recognition.
Access to lower level controls. It can read and control all of the robot's motors and sensors in real time. Easy direct deployment of the open source robot algorithm
Access to high-level controls. It can directly send high-level movement commands like forward, backward, left and right movement to the robot.
Outstanding software and hardware reliability
More than 6 years in the field of four-legged robots
An A1 robot performed a backflip 80 times during CES 2020
Closed-loop backflip algorithm to ensure motion stability
advancement
Transport dimensions: 620 x 300 mm
areas of application

education
research
entertainment
game
robot competitions