Ted Pavlic, an associate professor at Arizona State University, believes that social insects like ants and bees can teach us valuable lessons about decision-making and problem-solving. He and his colleagues are studying the behavior of social insects to develop novel algorithms for autonomous systems, including drones and robots. The team is designing control strategies for large-scale autonomous systems that can exhibit collective intelligence and self-organization. By mimicking the behavior of social insects, they aim to improve the capabilities of autonomous systems in unpredictable environments. For example, they are developing a swarm of drones that can search for victims and deliver supplies in disaster scenarios. They are also testing biomimicry-inspired algorithms to improve the performance of autonomous systems in various applications, including search and rescue operations. Furthermore, they are exploring the potential of bio-inspired AI to expand search and rescue operations, such as using robots to explore other planets and monitor power grid systems. By understanding how social insects make decisions in complex environments, the researchers aim to create more intelligent autonomous systems that can adapt to changing situations.
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