Estelle Chauveau

Papers

Total Citations

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About

Estelle Chauveau’s research lies at the intersection of multi-robot coordination, artificial intelligence, and autonomous systems, with a focus on decentralized decision-making for complex, real-world environments. Her most cited work, “Market-based Multi-robot coordination with HTN planning” (2021, 6 citations), introduces a novel approach that integrates Hierarchical Task Network (HTN) planning with auction-based task allocation. This method enables robots to simultaneously decompose and allocate high-level tasks—those with causal or temporal dependencies—without centralized control, advancing the scalability and flexibility of multi-robot systems. In her earlier position paper, “Integration of Autonomous Heterogeneous Systems for Decision Making Autonomy in Naval Defence” (2019, 2 citations), Chauveau surveys state-of-the-art AI and robotics techniques to address challenges in integrating diverse autonomous platforms for naval operations, highlighting avenues for enhanced decision-making autonomy. Her work is particularly notable for bridging theoretical planning algorithms with practical, decentralized coordination, offering solutions for domains like defense and logistics. With a growing citation footprint, Chauveau’s contributions underscore a commitment to making autonomous systems more adaptive and collaborative, positioning her as a rising voice in multi-agent robotics and AI-driven autonomy.