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LimX Dynamics Oli EDU Humanoid Robot

SKU RBD-Lix-05
Original price $72,000.00 - Original price $72,000.00
Original price
$72,000.00
$72,000.00 - $72,000.00
Current price $72,000.00
Availability:
in stock

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See It In Action

Oli: Walking Across Construction Rubble

Frequently Asked Questions

What is the LimX Oli Edu?

The Oli EDU is a full-size, general-purpose humanoid platform from LimX Dynamics built for embodied AI research, education, and development. It has 31 active degrees of freedom (6 per leg, 7 per arm, 3 in the waist, and 2 in the neck), weighs up to 121 lb (55 kg) with its battery, stands 65 inches (165 cm) tall, and is designed for studying whole-body motion, balance, gait planning, manipulation, and reinforcement learning policies on a human-scale body. It is the education and research tier of the Oli series, with the same body as the higher tiers but without their dedicated perception computer.

How is it different from the LimX TRON1?

TRON1 is LimX's compact multi-modal biped: legs only, 33 inches (845 mm) tall and under 44 lb (20 kg), with interchangeable point-foot, sole, and wheeled foot-ends, designed as an entry point for locomotion and reinforcement-learning research. Oli EDU is the full-size humanoid: 65 inches (165 cm) and up to 121 lb (55 kg), with 7-DoF arms, a 3-DoF waist, a 2-DoF neck, a two-finger gripper, and depth cameras, so it supports manipulation and whole-body research that TRON1 cannot. TRON1 is the lower-cost starting point for labs focused on legged locomotion; Oli EDU is the step up for teams that need a humanoid with arms and perception.

What programming interface does it expose?

A modular SDK with Python and C++ bindings, a WebSocket application protocol, and deployment examples for both ROS 1 and ROS 2. It exposes a low-level motion API for joint-level control, a high-level motion API for walking velocity and preset motions, and a sensor API for the IMU and cameras. A complete URDF for Sim2Real work with NVIDIA Isaac Sim, MuJoCo, and Gazebo is included, and LimX publishes its SDK, model files, and code examples on GitHub.

Can students train their own walking policies?

Yes. The Oli EDU is scoped for that workflow: it ships with a complete URDF for Sim2Real work in NVIDIA Isaac Sim, MuJoCo, or Gazebo, and the low-level motion API lets you deploy your own controllers on the hardware. A standard pipeline: train in simulation, validate on the simulated Oli, then deploy to hardware. Note that the robot walks out of the box using LimX's built-in controller and preset motion library, so student policies are a research extension rather than a requirement to use the robot.

How is it powered and how long does it run?

A 9,500 mAh quick-swap battery module provides about 2 hours of operation per charge, and a 58.8 V, 10 A charger is included. LimX does not publish a charge time. The quick-swap design lets you exchange the battery module rather than wait on the charger during long development sessions, and the foldable seated storage position keeps the robot stable between tests.

What safety features prevent it from damaging itself or surroundings?

The included handheld remote controller has an emergency stop that lets the operator halt the robot immediately. Beyond that, LimX does not publish details of the fall-detection or torque-limit behavior, so operate within the documented limits, keep the workspace clear, and supervise actively. For untethered tests, use a flat, clear floor with a spotter or support harness, and use the seated storage position when the robot is not under test.

Does it ship with cameras or other sensors?

Yes. The Oli EDU includes a self-developed 6-axis IMU plus head- and chest-mounted depth cameras as standard. It does not include a dedicated perception computer: motion control runs on a Rockchip RK3588, and the NVIDIA Orin NX perception computer is an Oli Super feature. USB 3.0/3.2 and Gigabit Ethernet ports plus 24 V/5 A and 12 V/5 A auxiliary power outputs support adding external sensors such as LiDAR or additional cameras.

Is this a single-user or classroom platform?

Suited to small-group use: one operator drives it with the included remote controller while others develop against the SDK over the network. Each robot ships with its own remote controller and access to the SDK, and connects over Wi-Fi 6 or Gigabit Ethernet. How many units a class needs depends on how much hands-on time each student gets; contact us about multi-unit orders.

What is the warranty?

12-month LimX Dynamics manufacturer warranty against manufacturing defects and hardware failures. Damage from misuse or operation outside the documented limits, disassembly or modification of motors or internal components, and normal wear on consumable parts are not covered. Warranty service is coordinated through RoboticsSelect as the authorized LimX Dynamics dealer.

What is realistic to accomplish in one academic semester?

A motivated graduate student can typically accomplish: characterize the robot's joint dynamics in simulation, train a policy that walks forward on flat ground in sim, deploy that policy to hardware, and demonstrate basic disturbance rejection (push recovery). More advanced topics like uneven-terrain walking, language-conditioned commands, or multi-robot coordination usually take a full year or are dissertation-scale.