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Taiwan tests autonomous drone swarms for maritime surveillance against China’s grey-zone tactics

Taiwan’s Ocean Affairs Council is developing an autonomous drone system to counter China’s grey-zone military activities in its waters. The project, led with National Cheng Kung University, has already completed flight simulations of two coordinated fleets, each with 10 drones. These simulations mark the second phase, shifting from individual drone control to multi-drone coordination, with a…

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Key points

  • Taiwan’s Ocean Affairs Council and National Cheng Kung University completed flight simulations of two coordinated drone fleets, each with 10 units
  • Next phase includes hardware testing and flight trials over real maritime areas to test reliability in varying conditions
  • System will use mixed drone types, including the U.S.-made V-BAT VTOL drone, for extended surveillance missions

The next phase involves hardware-in-the-loop testing and flight trials over real maritime areas to assess reliability under varying sea and weather conditions. The drones are programmed for 3D separation, leader-follower formations, and dynamic obstacle avoidance. The system will enable mixed drone fleets—including the recently acquired U.S.-made V-BAT VTOL drone—to coordinate tasks and routes. The V-BAT, with over 12 hours of endurance, is designed for deployment from non-carrier ships without major modifications.

Full story from Tom's Hardware · by Jowi MoralesOpen source ↗

Taiwan working on autonomous drone swarms to counter China’s increasingly aggressive grey-zone military tactics — island has already completed flight simulations, now working towards flight trials over maritime areas

Tom's Hardware · 28 October 2026

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This text was published by Tom's Hardware and written by Jowi Morales. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Taiwan’s Ocean Affairs CouncilNational Cheng Kung UniversityShield AIJowi Morales

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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