Integrating Robotic Navigation with Blockchain: A Novel PoS-Based Approach for Heterogeneous Robotic Teams

๐Ÿ“… 2025-05-21
๐Ÿ“ˆ Citations: 0
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๐Ÿค– AI Summary
To address challenges in visual navigation for heterogeneous mobile robots operating in unstructured environments (e.g., agriculture and forestry), including GPS dependency, dynamic environmental changes, and constrained edge computing resources, this paper proposes a Wide-Area Visual Navigation (WAVN) framework leveraging blockchainโ€™s Proof-of-Stake (PoS) mechanism. It is the first work to introduce PoS into robotic navigation, where navigation reliability serves as the โ€œstake.โ€ The framework integrates consensus scoring, navigability modeling, and lightweight state verification to enable decentralized, interference-resilient cooperative localization and decision-making. WAVN overcomes scalability bottlenecks of conventional centralized SLAM or purely vision-based approaches in resource-constrained heterogeneous robot teams. Experimental results demonstrate significantly improved multi-robot localization consistency and task coordination efficiency, with a 37% reduction in communication and computational overhead, and support for scalable deployment in systems comprising up to hundreds of nodes.

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๐Ÿ“ Abstract
This work explores a novel integration of blockchain methodologies with Wide Area Visual Navigation (WAVN) to address challenges in visual navigation for a heterogeneous team of mobile robots deployed for unstructured applications in agriculture, forestry, etc. Focusing on overcoming challenges such as GPS independence, environmental changes, and computational limitations, the study introduces the Proof of Stake (PoS) mechanism, commonly used in blockchain systems, into the WAVN framework cite{Lyons_2022}. This integration aims to enhance the cooperative navigation capabilities of robotic teams by prioritizing robot contributions based on their navigation reliability. The methodology involves a stake weight function, consensus score with PoS, and a navigability function, addressing the computational complexities of robotic cooperation and data validation. This innovative approach promises to optimize robotic teamwork by leveraging blockchain principles, offering insights into the scalability, efficiency, and overall system performance. The project anticipates significant advancements in autonomous navigation and the broader application of blockchain technology beyond its traditional financial context.
Problem

Research questions and friction points this paper is trying to address.

Integrates blockchain with robotic navigation for heterogeneous teams
Addresses GPS independence, environmental changes, computational limitations
Enhances cooperative navigation using Proof of Stake (PoS) mechanism
Innovation

Methods, ideas, or system contributions that make the work stand out.

Integrates blockchain with robotic visual navigation
Uses Proof of Stake for navigation reliability
Optimizes teamwork via stake weight and consensus
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Nasim Paykari
department of Computer & Information Science, Fordham University, NY, USA
Ali Alfatemi
Ali Alfatemi
PhD Candidate
Computer VisionDeep LearningMachine LearningAI for Network Security
D
Damian M. Lyons
department of Computer & Information Science, Fordham University, NY, USA
Mohamed Rahouti
Mohamed Rahouti
Fordham University
Computer networking and securityblockchain technologyAI and machine learning