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About

Jack Connor is a leading researcher in bio-inspired underwater robotics, with a focus on swarm intelligence and biomimetic design. His work bridges the gap between biological behavior and robotic implementation, particularly through the development of the Fish-Inspired Robotic Algorithm (FIRA), which mimics the schooling behaviors of fish—including attraction, alignment, and predator avoidance—to enable coordinated underwater swarming. Connor’s most cited paper, a comprehensive review of algorithms and communication methods for underwater swarm robotics (92 citations), has become a foundational resource in the field. He has also contributed to the design and analysis of stingray-inspired robots, examining how waveform parameters affect surface velocity, and has developed bio-inspired pectoral fins for improved control of robotic fish. His research addresses key challenges in underwater exploration, such as limited sensory input and environmental impact, advancing the realism and functionality of aquatic robots. Connor’s work is widely recognized for its potential to revolutionize marine exploration, environmental monitoring, and the study of fish behavior in natural habitats.