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About

Jesse J. Hagenaars is a pioneering researcher at the intersection of neuromorphic computing, robotics, and autonomous systems. His work focuses on developing biologically inspired, energy-efficient solutions for robot perception and control, with a particular emphasis on micro air vehicles (MAVs) and drone autonomy. Hagenaars has made significant contributions to the field of neuromorphic engineering, most notably through his groundbreaking research on fully neuromorphic vision and control systems for autonomous drone flight, which has garnered 76 citations since its 2024 publication — a remarkable achievement for such recent work. His influential 2021 study on optic-flow-based landing using Intel's Loihi neuromorphic processor (47 citations) demonstrated how spiking neural networks can enable robust, real-time autonomous behaviors in resource-constrained aerial robots. Beyond drone systems, Hagenaars draws inspiration from biological intelligence, exploring insect-inspired navigation strategies to develop robots capable of visual homing. His body of work consistently bridges neuroscience and robotics, translating principles of asynchronous, sparse biological processing into practical hardware implementations. Through this research, he is helping to establish neuromorphic computing as a viable paradigm for the next generation of intelligent, low-power autonomous systems.