Social Animal

Social animal behavior research aims to understand the complex interactions within groups, focusing on how individual actions contribute to collective dynamics and overall group success. Current studies leverage advanced techniques like graph neural networks and deep learning models, including ResNet architectures, to analyze large datasets of animal movements and interactions captured via video tracking and annotation software. This research is crucial for improving animal welfare (e.g., in zoo settings), advancing our understanding of collective intelligence, and informing the design of more effective robotic systems inspired by natural swarm behavior.