Scientists are leveraging virtual reality (VR) to study fish behavior and improve the swarming capabilities of robots. Fish are renowned for their ability to move in highly coordinated groups, maintaining formation, avoiding collisions, and reacting swiftly to environmental changes—all without a central leader. This natural proficiency has long been a challenge for engineers trying to replicate similar dynamics in robotic systems. To address this, researchers have designed a sophisticated VR setup that immerses fish in a digital environment where they interact with virtual counterparts. These interactions provide valuable insights into how individual fish perceive and react to their surroundings, as well as how they coordinate with others in the school. By analyzing these behaviors, scientists can develop more refined algorithms for robotic swarm intelligence. The VR system allows researchers to simulate various scenarios, such as predator threats or changes in water currents, and observe how fish respond. This controlled environment enables detailed, repeatable experiments that would be difficult to conduct in the wild. The data collected from these experiments can then be used to train robots to mimic the natural swarming behaviors of fish, enhancing their ability to operate in complex and dynamic environments. One of the key findings from this research is that fish rely heavily on local interactions—sensing and responding to nearby individuals—to maintain cohesion and efficiency within the group. This decentralized approach is particularly noteworthy because it does not require a single leader to direct the entire swarm, making it highly robust and adaptable. These insights are crucial for robotics, especially for applications where multiple robots need to work together, such as search and rescue missions, environmental monitoring, or industrial tasks. By learning from fish, robots can be programmed to form cohesive groups, navigate obstacles, and adapt to changing conditions more effectively. The use of VR in this context is innovative and highlights the potential of interdisciplinary approaches in advancing technological solutions. It demonstrates how biological principles can inspire and enhance engineering designs, leading to more efficient and reliable robotic systems. As researchers continue to refine these methods, the prospect of creating swarms of robots that can operate with the fluidity and precision of fish schools becomes increasingly viable.