ASUS Tests Gallop Humanoid Robot on Motherboard Accessory Packing at Factory
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- InterestingEngineering.com
ASUS is testing Gallop, its humanoid robot, at an ASUS group electronics manufacturing services factory. The robot’s initial task is packing 15 motherboard accessories at a workstation designed for human workers; many parts are small, thin, and packaged in flexible transparent bags. ASUS is targeting 99.5 percent task success within 20 seconds, the time required for a human worker to complete the same operation. Customer pilot programs are planned for 2027, with commercial availability targeted for the second half of 2028.
The trial addresses whether a humanoid robot can take responsibility for most of a real factory operation without a worker remaining alongside it throughout the process. Gallop’s training combines demonstrations by experienced factory workers, simulation, and hands-on practice. With workers’ consent, head-mounted cameras record their methods. Simulation generates variations to help the robot handle minor changes, while virtual reality lets an operator guide Gallop using the same components and cameras as the workstation. ASUS says the approach is intended to demonstrate consistent factory performance beyond staged demonstrations.
ASUS’s stated performance benchmark is 99.5 percent task success within 20 seconds. The company has not disclosed whether Gallop has reached that target in the current factory test. Its recorded experiences after deployment are also intended to feed back into training. The next disclosed milestones are customer pilot programs in 2027 and targeted commercial availability in the second half of 2028.
Original report
Gallop: ASUS’s new humanoid robot learns to pack tiny motherboard parts in factory
InterestingEngineering.com · Jijo MalayilThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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