Unitree Go1 Pro — Specs & Review
Specifications
| Brand | Unitree |
|---|---|
| Model | Go1 Pro |
| Year | 2021 |
| Category | Entertainment |
| Autonomy | semi-autonomous |
| Environment | both |
| Price (USD) | $3500–$3800 |
| Connectivity | Wi-Fi, Bluetooth, ROS, Unitree App |
| Country of origin | CN |
Key features
- Nvidia Jetson Nano onboard AI computing
- 3.7 m/s maximum quadruped speed
- Upgraded AI camera array
- Python, ROS, and Unitree SDK support
- AI-enhanced follow-me tracking
- Onboard neural network inference capability
- Preferred Go1 variant for AI/perception research
What is it?
The Go1 Pro is the Nvidia Jetson Nano-equipped version of the Go1 quadruped, adding onboard AI computing capability to the base locomotion platform for more sophisticated perception and autonomous behaviour.
Who is it for?
University robotics and AI research teams needing onboard GPU compute for perception experiments. Researchers deploying custom neural networks for obstacle detection, semantic segmentation, or human tracking on a mobile quadruped. Developers building autonomous behaviour stacks on Go1 who need more than the base cameras and MCU.
Key specs
- Speed: 3.7 m/s maximum
- Onboard compute: Nvidia Jetson Nano (128-core Maxwell GPU)
- Cameras: Upgraded AI camera array
- Follow-me: AI-enhanced human tracking
- SDK: Python, ROS, Unitree SDK
- Battery: 1.2 hours runtime
- Weight: 12 kg
- Price: ~$3,500
- Origin: China
Jetson Nano significance
The Jetson Nano's 128-core GPU enables real-time inference of neural network models at the edge — without cloud connectivity. This is essential for autonomous perception tasks in robot research where latency and connectivity constraints make cloud inference impractical.
Limitations
- Succeeded by Go2 (2023) with superior compute and AI
- ~1.2 hour battery still limits extended field experiments
- Jetson Nano is aging compute vs Jetson Orin in newer platforms
- Not industrial-grade — no IP rating, no payload specification
FAQ
Why does Go1 Pro have Nvidia Jetson Nano?
The Jetson Nano provides onboard GPU compute (128 CUDA cores) enabling real-time AI inference at the robot without cloud connectivity — essential for autonomous perception, object detection, and semantic navigation research on a mobile platform.
Is Go1 Pro better than Go1 Air for research?
Yes, for AI and computer vision research. The Jetson Nano allows deployment of custom neural networks and ROS-based perception stacks that the Go1 Air's MCU cannot support.
What is the difference between Go1 Pro and Go1 EDU?
Go1 EDU is the top-tier variant with additional sensors (5G, UWB) and enhanced research-focused hardware. Pro is the mid-tier with Jetson Nano and improved cameras.
Is Go1 Pro still available?
The Go1 series was succeeded by Unitree Go2 in 2023. Go1 Pro may still be available from distributors or on the used market, but new units from Unitree are now Go2.
Can Go1 Pro run ROS autonomously?
Yes. The Jetson Nano runs Ubuntu + ROS, enabling full ROS-based autonomous navigation stacks, SLAM, and custom behaviour trees to run onboard without external computing.