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SNNs and QAOA for Real-Time Obstacle Avoidance by arunsrajpurohit is a document available to read on EtoBox.

What is SNNs and QAOA for Real-Time Obstacle Avoidance about?

This research presents a hybrid framework that integrates Spiking Neural Networks (SNNs) with the Quantum Approximate Optimization Algorithm (QAOA) to enhance real-time obstacle avoidance in dynamic environments. The system effectively processes high-resolution event-based data for obstacle detection and formulates the navigation challenge as a Quadratic Unconstrained Binary Optimization (QUBO) problem, which QAOA optimizes for efficient path planning. Evaluations show that this approach outperforms traditi

Author

arunsrajpurohit

Language

EN