A Decentralized Cooperative Navigation Approach for Visual Homing Networks
Mohamed Rahouti, Damian Lyons, Senthil Kumar Jagatheesaperumal, and, Kaiqi Xiong

TL;DR
This paper introduces a decentralized blockchain-based visual navigation system for robot teams, enabling resilient, map-free homing over large areas with lightweight consensus, suitable for resource-constrained robots.
Contribution
It proposes a novel blockchain approach combined with a lightweight PoW mechanism for decentralized visual navigation without map data.
Findings
Enables visual homing over wide areas without map data
Supports resource-constrained robot platforms
Provides resilient and adaptive path selection
Abstract
Visual homing is a lightweight approach to visual navigation. Given the stored information of an initial 'home' location, the navigation task back to this location is achieved from any other location by comparing the stored home information to the current image and extracting a motion vector. A challenge that constrains the applicability of visual homing is that the home location must be within the robot's field of view to initiate the homing process. Thus, we propose a blockchain approach to visual navigation for a heterogeneous robot team over a wide area of visual navigation. Because it does not require map data structures, the approach is useful for robot platforms with a small computational footprint, and because it leverages current visual information, it supports a resilient and adaptive path selection. Further, we present a lightweight Proof-of-Work (PoW) mechanism for reaching…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotics and Sensor-Based Localization · Advanced Image and Video Retrieval Techniques · Visual Attention and Saliency Detection
