Papers
1
Total Citations
6
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About
Cedric Praiet is a leading researcher in multi-robot systems, with a focus on distributed decision-making under real-world constraints. His work addresses a critical challenge in field robotics: enabling heterogeneous robot teams to adapt their plans in the face of unpredictable disturbances, such as task delays and communication failures. His most-cited paper, "Integrating Planning and Execution for a Team of Heterogeneous Robots with Time and Communication Constraints" (2018, 6 citations), introduces a novel hybrid planning architecture that allows robots to dynamically adjust their high-level decisions during mission execution. This contribution is foundational for deploying robust, autonomous robot teams in complex environments like disaster response or planetary exploration. Praiet’s research bridges the gap between theoretical planning algorithms and practical, resilient field operations, making him a key figure in advancing multi-agent autonomy.
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