Introducing ASUS's Gallop Robot Project
ASUS, the Taiwanese tech giant, is developing Gallop, a humanoid robot aimed at automating repetitive tasks in electronics manufacturing. Customer trials are scheduled for 2027, with a market launch expected in the latter half of 2028. Currently, Gallop is undergoing testing at an ASUS facility where it handles packaging of motherboard accessories. The robot is capable of sorting 15 different small and delicate components with precision.
The company targets a 99.5% success rate for task completion within 20 seconds. To train Gallop, ASUS uses motion recordings from skilled workers equipped with head-mounted cameras, combined with virtual reality simulations involving VR headsets and gloves. Gallop’s AI is structured into four layers, focusing on:
- environmental perception,
- task execution monitoring,
- object manipulation,
- hand control.
All of Gallop’s control systems run on an NVIDIA Jetson AGX Thor computer embedded within the robot.
Looking Ahead: Development and Applications
ASUS designs Gallop’s body and articulated arms in-house, including tactile sensor-equipped hands, while sourcing motors and other parts from industry partners. Presently, Gallop features a stationary base and two robotic arms. Within the next year, ASUS plans to develop a wheeled version and equip it with their own dexterous hands. The robot is set to be showcased to potential clients at Computex 2027.
Initially focused on electronics manufacturing plants, ASUS is also exploring the robot’s use in healthcare and other service sectors. Gallop is intended to handle monotonous and physically demanding duties—not to replace human workers. Instead, employees will shift to roles involving robot supervision, adjustment, and process improvement. The robot’s success hinges on reliably completing tasks with speed and accuracy.
ASUS’s Gallop project highlights the growing momentum toward automation in electronics production, promising greater efficiency and cost savings.
Implementing such advanced robotics could revolutionize traditional manufacturing workflows, allowing personnel to concentrate on complex problem-solving and operational management. Furthermore, this innovation paves the way for expanded robotics applications across industries like medicine and customer service, signaling significant growth potential in the robotics sector.
As ASUS advances its Gallop robot project, innovations in robotic navigation are also making headlines. For instance, Galbot's new PASSAGE system is designed to enhance humanoid robots' ability to maneuver through tight and cluttered environments, showcasing the ongoing evolution in robotics that complements the automation efforts in manufacturing settings like those targeted by Gallop.