WRC 2026 | RoboScience REX G1 Wheeled Humanoid General-Purpose Robot Debuts

Edited by Aya From Gasgoo

Gasgoo Munich- At the 2026 World Robot Conference (WRC 2026), RoboScience debuted its first wheeled humanoid general-purpose robot, the REX G1. Holding a baton, the unit performed a one-to-two-minute mini conducting routine.

Positioned as a "next-generation embodied intelligent productivity partner," the REX G1 features a dual-arm design with 22 degrees of freedom (DOF) across its body. This includes two for the head and neck, seven for each arm, two for the waist, one for vertical lifting, and three for the chassis. Its dual arms can work together to hold loads of up to 10 kg, handling tasks ranging from transport and pick-and-place to object manipulation.

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Image source: RoboScience

In terms of dimensions, the REX G1 measures just 540 mm wide, with an adjustable length between 540 mm and 640 mm, and a height range of 1,100 mm to 1,700 mm. Its operational reach spans from 0.1 meters to 2.0 meters, allowing for continuous vertical coverage that integrates directly into existing facility layouts. Equipped with chassis contraction and body lift functions—alongside omnidirectional mobility for forward, backward, lateral, and pivoting movement—the robot can navigate narrow passages as tight as 0.75 meters without the need for frequent turns.

On the intelligence front, the REX G1 boasts 2,070 TFLOPS of edge computing power and runs the Visics general embodied large model. Innovatively adopting an object-centric VLOA (Vision-Language-Object-Action) architecture, the system bridges the entire chain from visual perception and language command input to physical robot action.

The model is driven internally by a "dual-engine" system: the embodied world model interprets the physical world and simulates 3D dynamic trajectories for objects, while the general manipulation model precisely converts these simulated trajectories into low-level physical control signals for different robot bodies.

Based on this architecture, Visics decouples high-level task semantics from low-level physical execution. Pre-trained on massive amounts of video and simulation data, it develops generalization capabilities across different robot bodies, objects, and tasks. This means the robot is no longer limited to repeating pre-programmed routines; instead, when confronted with new objects, tasks, or hardware, it can dynamically generate and adjust operational strategies based on its understanding of the environment and the objective.

Regarding endurance, the REX G1 offers up to 4 hours of operation on a single charge and supports hot-swappable battery replacement. The process requires no shutdown, allowing the robot to resume work in as little as 5 seconds after a battery swap—meeting the demands of continuous, long-duration operation. In high-frequency scenarios like logistics and warehousing, this capability enables the robot to stay in the workflow through rapid swaps, minimizing downtime caused by charging.

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