Controlling Robots using Artificial Intelligence and a Consortium Blockchain
Vasco Lopes, Lu\'is A. Alexandre, Nuno Pereira

TL;DR
This paper presents a modular blockchain-based architecture for robotic control that leverages smart contracts and AI integration, enhancing security, decentralization, and adaptability across various robotic applications.
Contribution
It introduces a novel blockchain and smart contract framework for secure, decentralized robot control with AI integration, applicable across multiple domains.
Findings
Secure event registration via blockchain
Smart contracts enable robot control
AI algorithms interface with blockchain system
Abstract
Blockchain is a disruptive technology that is normally used within financial applications, however it can be very beneficial also in certain robotic contexts, such as when an immutable register of events is required. Among the several properties of Blockchain that can be useful within robotic environments, we find not just immutability but also decentralization of the data, irreversibility, accessibility and non-repudiation. In this paper, we propose an architecture that uses blockchain as a ledger and smart-contract technology for robotic control by using external parties, Oracles, to process data. We show how to register events in a secure way, how it is possible to use smart-contracts to control robots and how to interface with external Artificial Intelligence algorithms for image analysis. The proposed architecture is modular and can be used in multiple contexts such as in…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Reinforcement Learning in Robotics · Distributed Control Multi-Agent Systems
