Nerea Luis

Universidade do Porto, Universidad Carlos III de Madrid

Papers

Total Citations

H-Index

About

Nerea Luis is a leading researcher in artificial intelligence and robotics, specializing in multi-agent systems and task planning for heterogeneous robot teams. Her work addresses the critical challenge of efficiently coordinating diverse robots—each with unique capabilities—to achieve complex goals in real-world scenarios. Her key contributions include the development of "actuation maps," a novel framework introduced in her highly cited 2018 paper that enables decentralized, heterogeneous multi-agent planning by pre-computing robot capabilities to dramatically reduce search space complexity. This approach overcomes the inefficiencies of classical centralized planning, which struggles with combinatorial explosion as robot and goal combinations increase. In her 2019 follow-up work, she further advanced goal allocation strategies using pre-computed knowledge, demonstrating how prior information can streamline coordination. While her citation counts are still growing, her research has been recognized for its practical impact on robotic automation, logistics, and disaster response. Luis’s work bridges the gap between theoretical planning algorithms and deployable multi-robot systems, making her a rising voice in the field of autonomous agents and intelligent robotics.