Investigating the Application of Neuromorphic Computing for Real-Time Adaptation and Learning in Advanced Robotic and Autonomous Systems
Year: 2024
Type: conference-paper
Abstract: Neuromorphic computing mimics biological neural systems to enable real-time adaptation and learning in robotic and autonomous systems. This study explores the application of neuromorphic architectures in improving decision-making, energy efficiency, and responsiveness. Results demonstrate significant advancements in robotic autonomy and efficiency, showcasing the transformative potential of this technology.
Author: Al-Qarni, Areej
Institution: King Abdullah University of Science and Technology
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968064371
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