Casper van der Horst

Papers

Total Citations

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About

Casper van der Horst is pioneering the integration of audio-based perception and communication in swarm robotics. His research focuses on enabling small, resource-constrained robots to locate sound sources and communicate with one another using lightweight, AI-driven audio processing. Van der Horst’s major contributions include the development of **Chirpy**, a novel hardware module that combines simultaneous audio localization and communication for swarm robots. Central to this innovation is **AudioLocNet**, a deep learning model that allows robots to perform accurate localization even in challenging, non-line-of-sight environments. His earlier work, "Lightweight Audio Source Localization for Swarm Robots" (2021), laid the groundwork by investigating computationally efficient methods to bring sound localization to tiny robots, overcoming the high computational demands that previously made this capability impractical. With each of his most-cited papers garnering 5 citations, van der Horst is establishing a foundational niche at the intersection of acoustic AI and swarm intelligence. His work promises to enhance the situational awareness and coordination of robot swarms, making them safer and more effective in real-world applications like search-and-rescue, environmental monitoring, and collaborative exploration.