A swarm of autonomous robots can offer a new way to bring reliable Real-World data on block chains without trusting centralized sources.
The idea, detailed in a new preprint study entitled Swarm Oracle: Trustless Blockchain Agreements via Robot Swarms, builds on earlier peer-reviewed research where researchers demonstrated that mobile robots can reach a reliable consensus, even in times of disruption, cyberattack or in hostile environments. The new study applies that approach to a persistent problem in blockchain design: how you can get verified Real-World data in smart contracts without introducing new points of trust.
A blockchain Oracle is a service that provides external, real-world data for safe contracts to blockchain, so that these contracts can be performed based on information that exists outside the blockchain network.
The “oracle problem” refers to the challenge to feed chains data in decentralized systems. Block chains such as Ethereum are built to be reliable – AC junction verifies independent transactions. But the same design prevents smart contracts from gaining access to external information, such as weather reports, price feeds or sensor values, without input from third parties.
Today’s blockchain oracles, such as chain link, collect data from multiple sources to reduce the dependence on a food. But they can still re -introduce centralized risks, either through opaque aggregation methods or some failure points.
Swarm Oracle represents a different model: robot swarms. The system uses a collective of simple, cheap mobile robots-milk equipped with basic sensors and communication hardware-to-collect environmental data and reach consensus via a Byzantine fault tolerant protocol. Once a consensus has been reached, the swarm can publish its findings to a blockchain, where the data becomes available for smart contracts.
The concept expands on earlier work by integrating blockchain publishing into the decision -making process of the Robot Swarm. In a nature study from 2023, researchers showed how swarming could maintain the accuracy of the consensus, even when a maximum of a third of the robots were endangered, data incorrectly reported, remembering votes or being physically interfering with other robots.
In the new system, the robots host a permitted blockchain locally, so that they can store and verify data without needing continuous internet access. If applicable, they can upload final agreements to public block chains such as Ethereum. The local chain reduces communication overhead and makes transparency possible.
The swarm contains a built -in reputation system. Robots that try to manipulate the system gradually lose the ability to participate. This offers a mechanism for ‘self -repair’, with defective or malignant robots excluded from future consensus rounds.
The researchers tested the Swarm Oracle protocol in simulations and with physical robots called Pi-Pucks-on the soil-based devices driven by Raspberry Pi boards. While the experiments used identical robots from a single laboratory, the system is designed to support various types of swarms.
User classes for Zwem Oracle include the verification of disaster damage for insurance claims, monitoring air or water quality or supportive physical infrastructure networks (Depins). By operating independently and on varied site, the robots can reach areas that are inaccessible or too expensive to check.
However, the researchers acknowledge that there are challenges. Malicious agents could try to imitate honest robots. Although robots can recover from temporary broken connections, long distances can burden communication.
The idea of robots such as Blockchain participants is not new -projects such as helium have investigated decentralized hardware -oracles for specific tasks such as network connectivity.
The concept is part of a growing interest in the use of autonomous agents to make economic decisions, such as route deliveries or the management of grid taxes. Robotics developers also enclose cryptocurrency portfolios in autonomous systems to carry out transactions for their users.
Whether Swarm Oracle can switch from simulation to real-world implementation, can still be seen, with costs, availability of the robots and a general distrust of AI that slows down the adoption.