ASUS, the Taiwanese computer maker, published a post on its Pressroom website on 13 November 2026 describing Gallop, which it calls its first humanoid robot. According to the post, written by Dr. Albert Chang, Gallop is learning to pack motherboard accessories at an ASUS group electronics factory. ASUS says customer pilots are planned for 2027 and market availability is targeted for the second half of 2028. The post also says ASUS Co-CEO S.Y. Hsu recently introduced Gallop on CNBC. This post reflects sources as of 14 November 2026.

The first job

ASUS says Gallop’s first job is at an ASUS group plant that provides electronics manufacturing services (EMS): packing motherboard accessories. According to the post, the station has 15 small parts, many in thin, clear bags, and takes about 20 seconds per board. ASUS’s target is 99.5 percent success within 20 seconds, which the post describes as the same standard it applies to a person. The post gives these figures as targets and does not report a measured success rate.

ASUS says the full loop now works: a person shows the task, the robot learns it, and ASUS tests it on the production line. The post says the Gallop program started in early 2026 and that the robot comes from the Humanoid Robotics business unit of ASUS’s Physical AI Solutions Business Group.

How Gallop is built and trained

  • Body: Gallop currently works from a fixed base with two arms, for pick-and-place tasks at a station, and ASUS says a wheeled version comes next. ASUS says it designs the robot body and a dexterous hand with a sense of touch itself, while motors and other standard components come from established partners. Over the coming year ASUS plans to bring its own hand into the robot.
  • Computer: The post says all of the software runs on a single Nvidia Jetson AGX Thor computer inside the robot, using standard robotics software.
  • Software layers: The post describes four layers. A planner breaks a job into steps. A second AI, called a supervisor, checks each step and re-plans after a problem. A skills layer handles reaching, grasping and placing. A control layer moves the arms and hands and stops them if anything is wrong. ASUS says fixed interfaces between the layers let it swap in newer AI models without rebuilding the robot.
  • Training: ASUS says it starts from open AI models rather than building its own large model. Experienced workers wear small head cameras, with their consent, so the robot can learn how the job is done. Simulation produces variations of each example, and an operator in a virtual reality headset and gloves guides the robot through the task on the same parts and with the same cameras as the real station. Recordings made after deployment feed back into training.

Timeline and intended use

ASUS says it will add wheels and show Gallop to customers at Computex 2027, a computer trade show in Taipei, and that customer pilots are planned for 2027. It describes market availability for the second half of 2028 as a target. The post does not give a price.

ASUS names electronics manufacturing as the first market and says skills learned at one station could carry over to other pick-and-place jobs, with hospitals and service sites possible later. The post says Gallop is not meant to replace workers but is designed for repetitive, physically demanding stations that are hard to staff, and that workers who teach it would move into setting up, supervising and improving robots.

Where reports differ

Some outlets, including FourWeekMBA, say ASUS unveiled Gallop on 13 November, while Unite.AI says ASUS detailed it on that date. ASUS’s post is dated 13 November and says Hsu recently introduced Gallop on CNBC, without giving a date for that appearance. The date of Gallop’s first public showing is therefore not established in the sources read.

Sources and notes

Sources: the ASUS Pressroom blog post by Dr. Albert Chang, read in full; the ASUS Pressroom homepage, which shows an ASUS Pressroom post on X of 13 November repeating the pilot and availability dates; Unite.AI, read in full (the site labels the article as written by an AI research agent and reviewed by its editors); and FourWeekMBA, opened, which says its facts come from the ASUS post. No separate ASUS press release or event page for Gallop was found. The CNBC interview with Hsu was not located and not viewed, so nothing in this post rests on it. The figures in all three articles match.

Image: An ASUS ROG Strix Z390-F Gaming motherboard seen from above, 20 November 2020. Photo: PantheraLeo1359531 (CC BY 4.0), via Wikimedia Commons; cropped. Stand-in image: not a photo of the Gallop robot or of an ASUS factory.