Lucan De Groot

Papers

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About

Lucan De Groot is pioneering the intersection of robotics and artificial intelligence, with a primary focus on enabling robust, real-time communication and localization for multi-robot systems. His landmark work introduces Chirpy, a novel hardware module that allows swarm robots to locate one another and exchange information using audio signals, even in environments where visual line-of-sight is impossible. The core of this innovation is AudioLocNet, a deep learning model that achieves reliable localization in challenging, non-line-of-sight conditions—a critical capability for search-and-rescue, underground exploration, and collaborative manufacturing. Though his most-cited paper has garnered 5 citations since 2023, its impact is already evident in the robotics community, where it is recognized for solving a fundamental bottleneck in swarm coordination. De Groot’s contributions are particularly notable for their practical, hardware-integrated approach, bridging the gap between theoretical AI and deployable robotic systems. His work not only advances the field of acoustic sensing in robotics but also opens new avenues for resilient, low-cost swarm intelligence.