TerraSentinel: A Heterogeneous Multi-Robot System with Adaptive Neuromorphic Perception for Post-Disaster Structural Assessment and Survivor Localization

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Authors: Md Fahim Ahamed
Cited by: 0

Abstract

TerraSentinel is a heterogeneous multi-robot system designed for autonomous post-disaster operations, integrating adaptive neuromorphic perception and multi-modal sensor fusion. The framework enables simultaneous structural integrity assessment and survivor localization in complex, debris-filled environments. By combining specialized robotic agents with energy-efficient neuromorphic computing and resilient coordination, TerraSentinel improves coverage efficiency, detection accuracy, and operational robustness compared to conventional disaster response systems.

Fields of Study & Subjects

Robotics and Automated Systems Energy and Environmental Systems Robotics and Sensor-Based Localization

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 January 2026
Document type
Preprint