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Go1 quadruped robot Edu
Go 1 Edu quadruped robot: accessible and efficient
The Go Edu quadruped robot has now made its debut in the high-performance robotics market. And unlike some models, such as the Spot quadruped robot, this platform is particularly accessible.
Go 1 Edu is a quadrupedal mobile robot offering lots of development possibilities. It’s aimed in particular at higher education and professionals, for developing applications in fields ranging from service robotics to autonomous surveillance.
With this Unitree Robotics creation, you can introduce a mobile robotic dog equipped with cutting-edge technology into any teaching, research or development lab.
A light, compact and fast robot
The Go 1 Edu quadruped robot combines all the functionalities of the most sophisticated robotics systems with a discreet, agile profile:
- Go 1 travels at speeds of up to 4.7 m/s, or about 17 km/h
- It has a robust but lightweight chassis that will resist most shocks
- It can carry small loads: 5 kg on average, 10 kg max.
- All this while weighing just 12 kg and measuring less than 60 cm long!
- Battery life from 1 to 2.5 hours (depending on application)
Side-Follow and Super Sensory systems
Unitree Robotics has focused its efforts on several areas:
- The Side-Follow technology allows Go 1 Edu to easily follow someone and remain at their side, and to help them choose the best path in complex environments
- The Super Sensory stereoscopic camera and sensor system improves your robot’s autonomous navigation and obstacle avoidance capabilities
Its 16-core processor combined with a 384-core, 1.5 TFLOPS graphics processor give it a remarkably powerful artificial intelligence. For example, ISS and SSS function cooperatively to make all of the mobile platform’s movements smoother.
Technical specifications of the Go 1 Edu Basic / Edu / Edu Explorer / Edu Explorer 2
|Edu Basic||Edu||Explorer||Explorer 2|
|Processor||3 Jetson Nano boards||2 Jetson Nano boards + 1 NVIDIA Jetson NX board||2 Jetson Nano boards + 1 NVIDIA Jetson NX board||2 Jetson Nano boards + 1 NVIDIA Jetson NX board|
|LiDAR||No LiDAR||No LiDAR||LiDAR 2D Slamtec M2M2||RoboSense RS-LiDAR-16 3D Laser Range Finder|
|Cameras||5 sets of fish-eye stereo depth cameras||5 sets of fish-eye stereo depth cameras||5 sets of fish-eye stereo depth cameras||5 sets of fish-eye stereo depth cameras|
|Angle||≈ 150 x 170°||≈ 150 x 170°||≈ 150 x 170°||≈ 150 x 170°|
|Max. payload||10 kg||10 kg||10 kg||10 kg|
|Speed||3,7 m/s||3,7 m/s||3,7 m/s||3,7 m/s|
|Max. speed||4,7 m/s (17 km/h)||4,7 m/s (17 km/h)||4,7 m/s (17 km/h)||4,7 m/s (17 km/h)|
|Maximum slope||+/- 25°||+/- 25°||+/- 25°||+/- 25°|
|Maximum step height||100 mm||100 mm||100 mm||100 mm|
|Applications||Graphic Processing API (OTA), Research Programming API and Python Programming API||Graphic Processing API (OTA), Research Programming API and Python Programming API||Graphic Processing API (OTA), Research Programming API and Python Programming API||Graphic Processing API (OTA), Research Programming API and Python Programming API|
|Human Recognition||HAI 1||HAI 1||HAI 1||HAI 1|
|APP||Top View||Top View||Top View||Top View|
|Network||4G or 5G||4G or 5G||4G or 5G||4G or 5G|
|Weight||12 kg||12 kg||12 kg||12 kg|
|Dimensions||58,8 x 29 x 22 cm||58,8 x 29 x 22 cm||58,8 x 29 x 22 cm||58,8 x 29 x 22 cm|