Mees Jonker

Papers

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About

Mees Jonker is a robotics researcher whose work sits at the intersection of artificial intelligence, swarm robotics, and acoustic sensing. His most notable contribution is the development of **Chirpy**, a novel hardware module that enables swarm robots to simultaneously localize and communicate with one another using audio. To overcome the limitations of traditional localization in complex environments, Jonker designed **AudioLocNet**, a deep learning module that allows Chirpy to perform accurate localization even under non-line-of-sight conditions—a critical capability for real-world robotic swarms operating in cluttered or obstructed spaces. His 2023 paper on this system has already garnered **5 citations**, signaling growing interest in audio-based approaches for multi-robot coordination. By merging embedded hardware with AI-driven signal processing, Jonker is pushing the boundaries of how robots can perceive and interact with their surroundings without relying on expensive or fragile sensors. His work holds promise for applications ranging from search-and-rescue to environmental monitoring, where robust, low-cost swarm communication is essential.