Bio Inspired

Bio-inspired research draws inspiration from biological systems to solve engineering and computational challenges, aiming to create more efficient, robust, and adaptable artificial systems. Current research focuses on applying bio-inspired principles to robotics (e.g., locomotion, navigation, exploration), computer vision (e.g., memory, object recognition, scene reconstruction), and machine learning (e.g., continual learning, optimization algorithms), often employing neural networks, spiking neural networks, and evolutionary computation. This interdisciplinary field is significant for advancing both fundamental understanding of biological systems and the development of novel technologies with improved performance and capabilities in various applications.