Humanoid Robots
Oli EDU humanoid robot and the Tron1 EDU biped robot
The Oli EDU humanoid robot and the TRON1 EDU biped robot are the two LimX Dynamics research platforms RoboticsSelect carries, and they answer different questions. Oli EDU is a full-size humanoid with arms for whole-body motion and manipulation; TRON1 is a compact, legs-only machine built to study walking, balance, and reinforcement learning on real hardware.
This article explains what separates the two, how each one stays upright, what sensors and compute ship in the box, how you program them, and which one fits a university lab, a developer team, or a robotics course. Both are listed in our LimX Dynamics collection.
Key takeaways
- Oli EDU is a 165 cm, 31-DoF humanoid with 7-DoF arms and a two-finger gripper; TRON1 EDU is an 845 mm biped under 20 kg with three interchangeable foot-ends.
- Both ship with open Python and C++ SDKs, ROS support, and URDF models for NVIDIA Isaac Sim, MuJoCo, and Gazebo, so policies train in simulation before touching hardware.
- Each runs about 2 hours per battery with quick swapping; plan a spare pack and a supervised lab with a cleared workspace.
- TRON1 is the lower-cost entry for locomotion research; Oli EDU is the step up for teams that need arms and perception on a human-scale body.
Humanoid or biped: what is the difference?
In robotics, form follows the research question. If the goal is to study how a machine interacts with the world, you need a humanoid shape with arms. If the focus is mastering movement, a legs-only platform removes weight and complexity so the work concentrates on balance and gait.
Oli EDU has 31 active degrees of freedom (DoF, the number of independent joint motions), arranged as 6-DoF legs, 7-DoF arms, a 3-DoF waist, and a 2-DoF neck. It stands 165 cm, weighs up to 55 kg with its battery, reaches about 5 km/h, and carries 3 kg per arm with its standard parallel two-finger gripper; a five-finger dexterous hand is optional. TRON1 EDU stands 845 mm and weighs under 20 kg. Its defining feature is a 3-in-1 modular design: Point-Foot, Sole, and Wheeled foot-ends swap onto the same legs, and the robot recognizes the module automatically and adapts its software.
| Spec | Oli EDU | TRON1 EDU |
|---|---|---|
| Form | Full-size humanoid with arms | Multi-modal biped, legs only |
| Height and weight | 165 cm, up to 55 kg with battery | 845 mm, under 20 kg |
| Degrees of freedom | 31 active (excluding end effectors) | Legs only; three interchangeable foot-ends |
| Speed | About 5 km/h | Under 1 m/s walking; up to 3 m/s wheeled |
| Payload | 3 kg per arm | Up to 10 kg of research equipment |
| Runtime | About 2 hours, 9,500 mAh quick-swap module | Up to 2 hours, 210.6 Wh quick-swap battery |
| Onboard compute | Rockchip RK3588 motion controller | 12th-gen Intel Core i3, 16 GB RAM, 512 GB |


How does a two-legged robot stay upright?
A two-legged machine is never statically stable the way a wheeled base is; it stays up by sensing tilt and correcting with every step. The sensor doing that work is the IMU (inertial measurement unit), a chip that measures acceleration and rotation, much like the balance organ in your inner ear. Oli EDU uses a self-developed 6-axis IMU, and TRON1 pairs its IMU with joint encoders and force-torque sensors at each foot.
The motion controller reads those signals and commands the joint motors to adjust knees, hips, and ankles. Both robots walk out of the box on LimX's built-in controller: Oli EDU ships with a preset motion library, and TRON1 handles four-directional movement, turning, in-place stepping, squatting, height adjustment, and ground-clearance detection from the remote. In Sole and Wheeled modes, TRON1 can stand back up after a fall. In wheeled mode it clears steps up to 20 cm and inclines up to 30 degrees.
The safety side follows from the physics. The emergency stop on the handheld remote cuts joint power at once, which means a standing robot can drop; LimX calls E-stop activation a high-risk operation. LimX asks for a 1 m gap from every person and a 2 m clear radius before activation, requires a tether rope on TRON1 during initial use, and does not recommend either platform for operators under 18.
What sensors and compute ship in the box?
Oli EDU includes head- and chest-mounted depth cameras as standard, and motion control runs on a Rockchip RK3588 with 8 GB RAM. It does not include a dedicated perception computer; that NVIDIA Orin NX module is an Oli Super feature. For adding your own LiDAR or extra cameras, the body provides USB 3.0/3.2 and Gigabit Ethernet ports plus 24 V/5 A and 12 V/5 A auxiliary power outputs, with Wi-Fi 6 and Bluetooth for wireless connection.
TRON1 EDU takes the opposite approach: strong onboard compute, minimal factory sensing. A 12th-generation Intel Core i3 with 16 GB RAM and 512 GB of storage is installed, alongside the IMU and joint encoders. Cameras and lidar are not included on the base model. LimX offers a Sensor Expansion Kit with a LiDAR and depth camera in pre-optimized mounting positions, a Voice Interaction Kit with an NVIDIA NX module and microphone array, and an Arm Expansion Kit for mobile-manipulation work. The chassis supplies 24 V peripheral power (100 W, 200 W peak), USB 3.0, and Gigabit Ethernet, and the wireless remote works from up to 50 m.
Tip
Decide your sensor stack before you order. Oli EDU is the choice when depth cameras need to be in the box; TRON1 is the choice when you want to mount exactly the LiDAR, camera, or arm your project calls for on a 10 kg payload budget.
How do you program Oli EDU and TRON1?
Both platforms expose control from high-level locomotion commands down to joint level. Oli EDU's modular SDK has Python and C++ bindings, a WebSocket application protocol, and deployment examples for 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. TRON1 EDU's open SDK supports a complete Python workflow, so C++ is not required, and the EDU edition includes secondary-development access, data visualization, data recording and playback, and joint control.
The standard pipeline is simulation first. LimX ships a complete URDF (the file that describes the robot's links and joints) for NVIDIA Isaac Sim, MuJoCo, and Gazebo on both robots, and publishes its SDK, model files, and code examples on GitHub, including a TRON1 reinforcement-learning training and deployment guide based on Isaac Lab. Train a policy in simulation, validate it on the simulated robot, then deploy the same code to hardware. LimX states that most teams achieve robust walking within a semester; uneven-terrain walking, language-conditioned commands, and multi-robot coordination are year-plus or dissertation-scale topics.
Simulation does not capture everything. Real floors, worn joints, and sensor noise differ from the physics model, so a policy that looks perfect on screen may still stumble on the physical robot. That gap is exactly why LimX publishes calibrated models and sim-to-real transfer pipelines, and why the first hardware runs happen on a protective frame or tether.

Batteries, runtime, and lab setup
Oli EDU runs about 2 hours per charge on its 9,500 mAh quick-swap battery module, with a 58.8 V, 10 A charger included; LimX does not publish a charge time, so a spare pack is the practical answer for long sessions. The robot ships in a foldable seated storage posture that one person can set up, and LimX's manual assumes a protective frame: the robot hangs from hooks on its shoulders with at least 15 cm of foot clearance for development work, zero calibration, and the first stand-up.
TRON1 EDU runs up to 2 hours on its 46.8 V, 4.5 Ah (210.6 Wh) battery. One battery and a charging dock are included; a full charge takes about 1.5 hours, or under 1 hour from 20 to 80 percent, and quick swapping is supported. It is rated for -5 to 40 degrees C in favorable conditions and is neither waterproof nor dustproof, so keep it out of humid, sandy, or dusty spaces.
Before you buy
Confirm floor space with a 2 m clear radius, a fall-arrest frame or tether for early policy testing, a Linux workstation with ROS ready before delivery, spare batteries against your planned session lengths, and a written supervised-operation procedure approved by your safety office. Both platforms are research instruments, not consumer products.
Which LimX platform fits your program?
Choose TRON1 EDU if your research is locomotion, balance, or sim-to-real reinforcement learning. It is the lower-cost starting point, easy to reposition, and its three foot-ends let one robot compare walking, balancing, and rolling control strategies. In our catalog it is listed under quadruped and legged robots, and the quadruped robot buying guide covers where it sits among four-legged platforms.
Choose Oli EDU if you need a humanoid that both walks and manipulates: two-handed interaction, whole-body motion, and depth-camera perception on a human-scale body for embodied-AI coursework and research. LimX positions the pair as a progression: prove a locomotion direction on TRON1, then scale it to full-size Oli hardware without switching SDK ecosystems. Both sit in our $10,000 and up research tier; the humanoid robot buying guide compares them with the other humanoid we carry.
RoboticsSelect is an authorized LimX Dynamics dealer. Both platforms ship through the manufacturer's official channel with the 12-month LimX manufacturer warranty, verified SDK and firmware access, free shipping to the contiguous 48 U.S. states, and support coordinated by our U.S.-based team. Universities and research groups can order by purchase order through our contact page.
The takeaway
Oli EDU and TRON1 EDU tackle different chapters of the same story: one is a human-scale body for whole-body motion and manipulation, the other a focused platform for learning how two legs stay upright. Pick by research question, plan the lab around supervised operation, and start in simulation before the hardware arrives. Read the full LimX Dynamics brand overview for the lineup and ordering details.
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FAQ
How is the Oli EDU different from the TRON1?
TRON1 is LimX's compact multi-modal biped: legs only, 845 mm tall and under 20 kg, with interchangeable point-foot, sole, and wheeled foot-ends. Oli EDU is the full-size humanoid at 165 cm and up to 55 kg, with 7-DoF arms, a two-finger gripper, and depth cameras, so it supports manipulation and whole-body research that TRON1 cannot.
Can students train their own walking policies?
Yes. Both platforms ship with a complete URDF for NVIDIA Isaac Sim, MuJoCo, and Gazebo, and their low-level motion APIs let you deploy your own controllers on the hardware. The robots also walk out of the box on LimX's built-in controllers, so student policies are a research extension rather than a requirement.
Do we need ROS experience before buying?
It helps a lot. Oli EDU provides deployment examples for ROS 1 and ROS 2, TRON1's SDK supports a full Python workflow, and the practical toolchain assumes Linux competence. Budget a few weeks of ramp-up in simulation, which can start before the hardware arrives.
How long do the batteries last?
Oli EDU runs about 2 hours per charge on its 9,500 mAh quick-swap module. TRON1 EDU runs up to 2 hours on its 210.6 Wh battery, recharges fully in about 1.5 hours, and supports quick swapping; spare batteries rotated through the dock extend a session.
Is it safe to operate these robots near people?
They are research robots, not certified collaborative machines. LimX advises keeping at least 1 m between people and the robot, clearing a 2 m radius before activation, using a tether or fall-arrest support for early policy testing, and does not recommend operation by anyone under 18.
What warranty and ordering process applies?
Both platforms carry a 12-month LimX Dynamics manufacturer warranty against manufacturing defects, with service coordinated through RoboticsSelect as the authorized dealer. They are build-to-order; contact us for the current lead time and an itemized quote for procurement or purchase orders.