LimX Dynamics Oli EDU - humanoid robot, 165 cm, 31 degrees of freedom

LimX Dynamics Oli EDU - Humanoid robot for research, education, and Embodied AI

The LimX Dynamics Oli EDU is a fully featured humanoid robot for education, research, and Embodied AI. At approximately 165 cm tall, with 31 degrees of freedom and an open software architecture, it provides a powerful platform for reinforcement learning, robotics development, and advanced AI experiments.

Two Intel RealSense D435i depth cameras, a self-developed 6-axis IMU, and numerous interfaces support the system's perception and expandability. With high-level and low-level APIs, Python support, and a modular SDK, the Oli EDU can be integrated into various research and development environments.

Highlights

• 31 degrees of freedom for full-body movements and manipulation
• Approx. 165 cm tall and up to 55 kg including battery
• 2 x Intel RealSense D435i for depth perception
• Proprietary 6-axis IMU
• Full Python support
• High-level and low-level APIs via modular SDK
• URDF model for Sim2Real workflows
• Support for NVIDIA Isaac Sim, MuJoCo, and Gazebo
• Gigabit Ethernet, multiple USB-3.x ports, and various I/O pins
• 12V and 24V power outputs for external peripherals

Open software architecture and Sim2Real

The Oli EDU is designed for developing Embodied Intelligence and complex robotics applications. The modular SDK provides high-level and low-level APIs. Python is fully supported.

A precise URDF model supports Sim2Real workflows. Algorithms can be trained in simulation environments and then transferred to the physical robot.

• NVIDIA Isaac Sim
• MuJoCo
• Gazebo
• OTA support for software updates

Expandability and interfaces

For research setups and additional sensors, the Oli EDU provides various data and power interfaces. External devices such as additional sensors or LiDAR systems can be connected via USB, Ethernet, I/O pins, and the provided 12V and 24V outputs.

• Ethernet at 1,000 Mbps
• Multiple USB 3.x ports
• Various I/O pins
• 24V / 5A output for peripherals
• 12V / 5A output for peripherals

Typical applications

• Research into embodied AI
• Reinforcement learning
• University education and robotics training
• Sim2Real research
• Development of humanoid motion and control algorithms
• Integration of additional sensors and peripherals
• AI and robotics experiments with high-level and low-level access

Technical data

Scope of delivery

• Humanoid robot LimX Dynamics Oli EDU, preassembled
• Comprehensive documentation with user manuals and developer documentation
• Access to the SDK and motion libraries
• Practical examples for a quick start
• Support for simulation platforms such as NVIDIA Isaac Sim, MuJoCo, and Gazebo
• Power supply and necessary accessories for operation