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India tests edge-native drone swarms that adapt, decide and act

23 Jun 2026
2 min

Autonomous Edge-Native Drone Swarms

In a groundbreaking development in military technology, Tashi Network and DroneVerse successfully demonstrated autonomous, edge-native drone swarms. The live field trial took place in the Delhi region and involved drones capable of functioning independently even when some units lost connectivity or needed to return to the base.

Key Highlights of the Field Trial

  • The trial marked one of the first successful demonstrations of drone swarms in India.
  • Drones operated autonomously without relying on a central control station.
  • The exercise spanned a 72-hour evaluation period across a simulated battlefield of 20,000 square meters.

Operational Scenarios

  • First Scenario: Find-Fix-Finish Mission
    • Surveillance drones identified targets and relayed information to reconnaissance drones.
    • Human operators authorized actions, after which drones autonomously coordinated the mission.
  • Second Scenario: Search-and-Rescue Operation
    • Drones autonomously divided search areas for maximum coverage.
    • In the event of a drone returning to base due to a low battery, others redistributed tasks to maintain coverage.

Technological Innovations

"Humans stay in the loop for intent, but machines handle the millisecond-by-millisecond choreography," said Amar Bedi, Tashi Network CEO. The core technology involves a decentralized communication mesh that allows drones to communicate with each other using a shared directed acyclic graph mesh, ensuring continuous exchange of state, intent, and tasking.

Future Prospects and Strategic Importance

  • The trial validates the effectiveness of autonomous ecosystems in modern warfare.
  • Upcoming tests will involve larger formations, complex mission scenarios, and diverse payloads.
  • Autonomous systems are designed to adapt to real-time battlefield conditions, functioning even if communication networks are compromised.

Pawan Khatri, CEO of DroneVerse, emphasized the importance of transitioning from isolated platforms to coordinated teams, aligning with trends in modern warfare for defense and internal security. The successful trial is a critical step towards creating smarter skies, where autonomous systems can adapt and operate independently.

Explore Related Content

Discover more articles, videos, and terms related to this topic

RELATED TERMS

3

Directed Acyclic Graph (DAG) Mesh

A specialized mesh network topology where data flows in a specific direction (acyclic) and can be organized in a graph structure. In drone swarms, it facilitates efficient and ordered communication of state, intent, and tasking among drones.

Decentralized Communication Mesh

A network architecture where communication nodes (drones in this case) can communicate with multiple other nodes, creating redundant pathways. This contrasts with centralized systems, enhancing resilience as the loss of one node does not necessarily disrupt communication for the entire network.

Find-Fix-Finish Mission

A military operational concept where surveillance and reconnaissance assets (Find) locate enemy targets, (Fix) maintain continuous observation and prevent their escape, and (Finish) neutralize or destroy the identified targets. In this context, drones perform these functions autonomously.

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