Papers

71

Total Citations

1,956

H-Index

23

About

David Portugal is a robotics researcher whose work spans autonomous systems, multi-robot coordination, simultaneous localization and mapping (SLAM), and human-robot interaction. He has made particularly significant contributions to the field of multi-robot patrolling, authoring an influential survey on cooperative patrolling algorithms (115 citations) and developing foundational approaches including the MSP algorithm and scalable, fault-tolerant distributed patrol frameworks that together have shaped how researchers design coordinated robotic teams. His rigorous comparative evaluations of 2D SLAM techniques within the Robot Operating System (ROS) environment — now cited over 250 times — have become an essential reference for practitioners selecting navigation solutions. Portugal has also advanced distributed robotics by exploring computation sharing for SLAM across robotic clusters, demonstrating a keen interest in making sophisticated algorithms practical on resource-constrained platforms. His work extends beyond theoretical robotics into meaningful real-world applications, including the deployment of service robots in elderly care settings (132 citations) and multi-robot systems for wildfire prevention through the SEMFIRE project. Complementing his research, he has contributed to robotics education by integrating Arduino-based mobile robots into ROS curricula. With a broad, impactful body of work accumulating nearly 1,000 citations, Portugal represents a versatile and practically minded voice in modern robotics research.

Research Focus

Key Achievements

23
H-Index
71
Papers
1,956
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
An evaluation of 2D SLAM techniques available in Robot Operating System
254 citations · 2013
📈 Most Prolific Year: 2014 (12 Papers)
🤝 Key Collaborators: 61
🏛 Institutions: University of Coimbra, Citard Services (Cyprus), Institute for Systems Engineering and Computers

Top Papers

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    MSP algorithm
    87 citations · 2010
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago