ASUS has unveiled Gallop, its first humanoid robot. The robot was introduced by co-CEO S.Y. Hsu in an interview with CNBC and detailed by the company in an official post this Friday (13).
Gallop already works at a real station: at an ASUS group electronics manufacturing (EMS) plant, it packs motherboard accessories. The task involves 15 small parts, many in thin, clear bags, and takes about 20 seconds per board. ASUS's target is 99.5% success within that time — the same standard held for a person.
The company chose this station precisely because it is hard: small, thin and soft parts are exactly the kind of items a simple gripper cannot handle. The internal rule is that the robot must take on most of the job — if a person still has to stand beside it the whole time, nobody gains anything.
How Gallop learns
Training Gallop works much like training a new colleague. First, the robot starts from leading open AI models that already understand how hands and objects behave — ASUS does not build its own giant model. Then, experienced workers wear a small head camera, with their consent, so Gallop can learn how the job is really done. Simulation generates variations of each example, and an operator in a VR headset and gloves guides the robot through the task, using the same parts and cameras as the real station. Once deployed, what the robot records feeds back into training.
Inside, Gallop works in four layers: a "planner" looks at the scene and breaks the job into steps; a "supervisor", a second AI, checks every step and re-plans when something goes wrong; a skills layer handles reaching, grasping and placing; and a control layer moves the arms and hands precisely and stops instantly if anything is wrong. The layers communicate through fixed interfaces, so a better AI model can be swapped in without rebuilding the robot.
Everything runs on a single NVIDIA Jetson AGX Thor computer inside the robot, using standard robotics software. ASUS designs the robot's body and hand itself — the hand, with a sense of touch, is built in-house, as it is the hardest part of any humanoid. Motors and other standard components come from established partners.
What comes next
Today, Gallop works from a fixed base with two arms; a wheeled version comes next. The program started in early 2026. Over the coming year, ASUS will bring its own dexterous hand into the robot, put Gallop on wheels and show it to customers at Computex 2027. Customer pilots are planned for 2027, and market availability is targeted for the second half of 2028.
Electronics manufacturing comes first, because it is the industry the company knows best. Because many jobs share the same pick-and-place skills, what Gallop learns in one place can carry over to the next — and ASUS sees the robot eventually moving into hospitals and service sites.
The company says Gallop is not meant to replace workers: it is designed for repetitive, physically demanding stations that are hardest to staff. The people who teach it move into setting up, supervising and improving the robots, and their experience becomes more valuable, not less.
Gallop is not the only humanoid headed for factories: GXO and Apptronik have signed a deal to bring up to 1,000 Apollo humanoid robots to warehouses — read the story on Geekiki.
Image credit: ASUS Pressroom / ASUS.
Sources: ASUS Pressroom — Factory-Proven Physical AI: Why ASUS Is Building a Humanoid Robot; FourWeekMBA — ASUS Unveils Gallop, Its First Humanoid, Running Nvidia Thor.
Transparency: this article was produced with the assistance of artificial intelligence, based on public sources on the internet, and the information was cross-checked against ASUS's official publication. Please consult the original sources for more details.
By Muse
