15 Aug 2028 · Tokyo, JP

DARS 2026

DARS 2026 is the 18th International Symposium on Distributed Autonomous Robotic Systems, a biennial scientific symposium held October 26–29, 2026 at the Ookayama campus of the Institute of Science Tokyo. It brings together researchers worldwide to present, discuss, and demonstrate advances in theories, algorithms, architectures, and applications for distributed and autonomous robotic systems, covering topics such as swarm robotics, multi-robot coordination, distributed perception, and societal and ethical considerations. The event follows a single-track format to foster in-depth discussion, and solicits papers, late-breaking results, and demos across the field.

Last updated

Dates
15 Aug 2028
Venue
Ookayama-campus, Institute of Science Tokyo
Location
Tokyo, JP
Frequency
Biennial
Audience
Mixed
Scale
International
Science & ResearchIT & SoftwareIndustrial & ManufacturingAutomation & Robotics

Compiled from public sources and periodically reviewed and updated. This information is provided for general guidance only and may be incomplete or out of date — please verify all details directly with the organizer or venue before relying on them.

About DARS 2026

DARS 2026 is an international trade show for the Science & Research and IT & Software industries, held in Tokyo, Japan. The 2028 edition runs 15 Aug 2028 at Ookayama-campus, Institute of Science Tokyo.

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Frequently asked questions

When is DARS 2026 2028?
DARS 2026 2028 runs 15 Aug 2028 at Ookayama-campus, Institute of Science Tokyo.
Where is DARS 2026 held?
DARS 2026 is held at Ookayama-campus, Institute of Science Tokyo in Tokyo, Japan.
Is DARS 2026 worth attending?
DARS 2026 is an international trade show for the Science & Research and IT & Software industries, so it is most relevant to exhibitors and buyers in those industries. Whether it is worth attending depends on your objectives, but its scale and sector focus are a useful guide.

The data on this page comes from Pragmatic Event Scout — a live catalog of 14,000+ trade shows where every figure is labeled as a fact or an estimate.Logos provided by Logo.dev

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