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About

Banti Gheneti is a leading researcher in autonomous marine robotics, with a focus on developing intelligent systems for urban waterways and biomimetic underwater vehicles. His most impactful work centers on the Roboat project, an autonomous surface vehicle designed for navigating complex urban canal environments. Gheneti’s contributions include pioneering a novel localization system using an extended Kalman filter for robust perception in confined waters, and advancing real-time nonlinear model predictive control (NMPC) for precise trajectory tracking in both indoor and outdoor settings. His 2019 paper on Roboat has garnered 108 citations, while his 2018 work on NMPC control has reached 98 citations, underscoring their influence in the field. Gheneti has also made notable strides in bio-inspired robotics, developing a complete three-dimensional dynamic model for fin-actuated robotic fish capable of multimodal swimming—a significant departure from traditional planar models. Additionally, his research on autonomous latching systems enables robotic boats to dynamically connect and form floating infrastructure like bridges or markets. With over 330 citations across his key works, Gheneti’s innovations are shaping the future of autonomous waterborne transportation and adaptive aquatic structures.