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Related Experiment Video

Updated: Jan 11, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

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Published on: June 13, 2025

Marine-Inspired Multimodal Sensor Fusion and Neuromorphic Processing for Autonomous Navigation in Unstructured

Chandan Sheikder^1,2, Weimin Zhang^1,2, Xiaopeng Chen^1,2

¹School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)

|November 13, 2025

Summary

This summary is machine-generated.

This study introduces a novel neuromorphic framework for resilient robotic navigation, inspired by marine species. It enables energy-efficient, real-time path integration and cognitive mapping in challenging underwater environments.

Keywords:

bio-inspired navigation marine robotics multimodal sensor fusion neuromorphic computing quantum magnetoreception unstructured environment autonomy

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Area of Science:

Robotics and Bio-inspired Engineering
Neuroscience and Sensor Technology

Background:

Autonomous navigation in GPS-denied environments faces challenges from sensor degradation and computational inefficiency.
Existing robotic systems lack dynamic, context-aware multisensory fusion, leading to susceptibility to failures and high power consumption.

Purpose of the Study:

To develop a novel neuromorphic framework for resilient robotic navigation in unstructured, GPS-denied environments.
To bridge the gap in dynamic, context-aware multisensory fusion found in current robotic systems.

Main Methods:

Co-design of marine-inspired sensors (replicating cephalopod neural processing and marine fauna quantum mechanisms) with an event-based neuromorphic processing backbone.
Development of a hybrid sensor fusion model for real-time, energy-efficient path integration and cognitive mapping.

Main Results:

The proposed framework enables real-time, energy-efficient navigation without reliance on traditional methods.
Demonstrated potential for enhanced navigational robustness by overcoming limitations of state-of-the-art solutions.

Conclusions:

Marine bio-inspired design offers a promising approach for advancing autonomous systems in critical underwater applications.
The framework has potential for deep-sea exploration, environmental monitoring, and underwater infrastructure inspection.