Robotlar
Industry Guide

Unitree G1 Humanoid Robot: ROS2 Integration, Python SDK and Turkey Application Examples

UNITREE Turkey Hub & Competence Center

Unitree G1, with 100 TOPS AI processing power on NVIDIA Jetson Orin NX and ROS2 Humble support, enables Turkish engineers and researchers to develop their own Embodied AI applications. This guide provides practical examples from first steps to advanced integrations on the G1-EDU platform.

Development Environment Setup

G1-EDU comes with ROS2 Humble on Ubuntu 22.04 LTS. Initial connection is made via Ethernet (192.168.123.164). SSH access provides direct access to the motion control API via unitree_sdk2_python. Steps for development: 1) Establish SSH connection, 2) Create ROS2 workspace, 3) Build unitree_ros2 package, 4) Send first motion command.

Basic Motion Control with Python SDK

The unitree_sdk2_python library allows you to programmatically control G1's 23-43 joints. Walking, turning, posture changes and hand coordination commands are sent with simple Python functions. Example: G1 picking up an object from a table and carrying it to another location — combining sensor fusion, path planning and manipulation control.

LiDAR and Depth Camera Integration

The LIVOX MID360 LiDAR (360° horizontal FOV) and Intel RealSense D435i depth camera on G1 provide fundamental sensor data for SLAM and object recognition. Autonomous navigation algorithms are developed by receiving /scan and /depth/image_raw data via ROS2 topics.

Dex3-1 Dexterous Hand Programming

G1-EDU's optional Dex3-1 three-fingered hand performs complex object manipulation with 7 degrees of freedom. Independent control is provided via Lemo 6-pin interface. The tendon system offers high precision in tasks requiring fine motor control (lab instruments, door handle opening, object grasping).

Simulation with Isaac Sim

Thanks to NVIDIA Isaac Sim integration, algorithm development and testing can be done in a simulation environment without touching the physical G1. Sim-to-Real transfer learning enables models trained in virtual environments to be directly transferred to the real robot. This approach significantly reduces R&D costs.

G1 Use Cases in Turkey

🏫 Robotics research in university labs | 🏭 Pick-and-place automation in factory environments | 🎪 Interactive promotion at fairs and events | 🏥 Assistive robot prototype in healthcare | 🔬 Embodied AI and LLM integration experiments. As Robotlar.org, we provide engineering consulting and technical support in all these scenarios.

Let's Find Your Solution

Our expert engineering team is ready to evaluate your project.