RODEO: RObotic DEcentralized Organization

2026-03-06

AI Summary

This work addresses the limitations of current service robots—namely, the absence of auditable behavior logs, transparent decision-making mechanisms, and sustainable human-robot interaction models—which hinder long-term autonomous operation. To overcome these challenges, the authors propose RODEO, a novel framework that formally integrates Decentralized Autonomous Organizations (DAOs) into service robotics. By leveraging a ROS-ETH bridge, on-chain verifiable task attestations, and zero-knowledge proofs, RODEO establishes a closed-loop economic system encompassing task execution, proof submission, token-based incentives, and reinvestment. Experimental results demonstrate that a robot operating under this framework doubled its income within three days, with each verification requiring approximately one minute; the accumulated earnings sustained 88 hours of autonomous operation, thereby realizing auditable, self-incentivizing, and self-governing robotic economic behavior.

Technology Category

• Intelligent Robots: Learning & Optimization for ROB
• Humans and AI: Human-Aware Planning and Behavior Prediction
• Philosophy and Ethics of AI: Safety, Robustness & Trustworthiness

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Economics, Online Markets and Human Computation: LLM based quality controls for crowd work
• Search and Retrieval-Augmented AI: Agentic search

Abstract

Robots are improving their autonomy with minimal human supervision. However, auditable actions, transparent decision processes, and new human-robot interaction models are still missing requirements to achieve extended robot autonomy. To tackle these challenges, we propose RODEO (RObotic DEcentralized Organization), a blockchain-based framework that integrates trust and accountability mechanisms for robots. This paper formalizes Decentralized Autonomous Organizations (DAOs) for service robots. First, it provides a ROS-ETH bridge between the DAO and the robots. Second, it offers templates that enable organizations (e.g., companies, universities) to integrate service robots into their operations. Third, it provides proof-verification mechanisms that allow robot actions to be auditable. In our experimental setup, a mobile robot was deployed as a trash collector in a lab scenario. The robot collects trash and uses a smart bin to sort and dispose of it correctly. Then, the robot submits a proof of the successful operation and is compensated in DAO tokens. Finally, the robot re-invests the acquired funds to purchase battery charging services. Data collected in a three day experiment show that the robot doubled its income and reinvested funds to extend its operating time. The proof validation times of approximately one minute ensured verifiable task execution, while the accumulated robot income successfully funded up to 88 hours of future autonomous operation. The results of this research give insights about how robots and organizations can coordinate tasks and payments with auditable execution proofs and on-chain settlement.

Problem

• robot autonomy
• auditable actions
• transparent decision processes
• human-robot interaction
• trust and accountability

Innovation

• Decentralized Autonomous Organization
• blockchain
• robot autonomy
• auditable execution
• ROS-ETH bridge