Pilar Arques

Papers

Total Citations

H-Index

About

Pilar Arques is a researcher focused on swarm robotics, multi-agent coordination, and emergent behavior. Her work explores how groups of simple robots can achieve complex tasks through decentralized control and local interactions. Arques’ most cited paper, "Agents for Swarm Robotics: Architecture and Implementation" (2011, 5 citations), provides a foundational framework for designing and deploying robotic swarms, emphasizing modularity and scalability. She has since advanced the field by integrating deep reinforcement learning to enable sophisticated collective behaviors. Her 2023 study, "Obtaining emergent behaviors for swarm robotics singling with deep reinforcement learning" (2 citations), tackles the challenging problem of isolating a single agent from a group—critical for protection, rescue, or capture missions. This work proposes a multi-shepherd system that coordinates to achieve precise singling, modeled with realistic constraints. Additionally, her 2016 paper on "Positioning of Geometric Formations in Swarm Robotics" (2 citations) addresses how swarms can maintain spatial configurations for tasks like exploration or transport. Though her citation counts are modest, Arques’ contributions are notable for their practical focus on real-world swarm applications, bridging theoretical algorithms with implementable robotic systems. Her research continues to inspire new approaches in autonomous collective robotics.