ASUS Debuts Gallop, Its First Humanoid Robot, and Puts It to Work on Its Own Factory Line
For most of its four decades, ASUS has sold hardware that other people's hands assembled: motherboards, laptops, graphics cards and phones, built in factories where the fine work still belongs to human operators. On 13 November 2026 the Taiwanese company said it intends to supply some of those hands itself. ASUS introduced Gallop, its first humanoid robot, and did something unusual for a debut:…
ASUS unveiled its first humanoid robot, named Gallop, and demonstrated its capabilities on an actual production line within one of the company's electronic factories. Co-CEO S.Y. Hsu announced this during a segment on CNBC's Squawk Box Asia. Dr. Albert Chang, a corporate vice president at ASUS, provided more details about the robot's commercial path in a blog post on the same day. According to Hsu, Gallop will be released to partners in the second half of 2027 and reach the market in 2028.
The robot's debut was quite practical, as it was tasked with packing motherboard accessories, a position where 15 small parts need to be arranged around each board in roughly 20 seconds. ASUS set a high standard for this robot, aiming for 99.5 percent success rate, which is expected to be achieved by a human worker as well. This choice of a seemingly unglamorous task highlights the robot's ability to handle small, thin, and flexible parts, which often pose challenges for conventional automation.
Gallop is a two-armed humanoid robot, built by ASUS's Humanoid Robotics business unit. The company designed the body and a dexterous hand with tactile sensing, while sourcing motors and other standard components from established partners. ASUS plans to develop a wheeled version of Gallop, which will be showcased to customers at Computex 2027 in Taipei.
The robot's software stack runs on a single NVIDIA Jetson AGX Thor computer, with four layers: planner, supervisor, skills, and control. ASUS can swap in newer AI models without rebuilding the robot, ensuring continuous improvement. The training process for Gallop does not rely on ASUS' foundation model. Instead, it begins with leading open models and builds task data using experienced workers, simulations, and VR-guided training. The robot's performance data then feeds back into the training loop.
While ASUS did not disclose specific details about Gallop's height, weight, payload, or battery life, the company emphasized that it is developing the robot as a working development platform rather than a finished product for sale. This approach allows ASUS to focus on integrating and demonstrating the robot's capabilities within a factory setting, rather than competing in the race to build the most advanced embodied AI model.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
