Pedro Henriques Abreu

About

Pedro Henriques Abreu is a leading researcher in multi-robot systems and computational sports analytics, with a particular focus on robotic soccer. His work bridges artificial intelligence and sports science, developing tools to analyze, plan, and optimize team performance in simulated robotic environments. Abreu’s major contributions include the creation of a flexible language for mission description in multi-robot missions, which has garnered 20 citations, and an automatic approach to extracting goal plans from simulated soccer matches (17 citations). He also pioneered the Strategy Planner, a graphical tool for defining soccer set-plays (14 citations), and applied model-based collaborative filtering to recommend optimal strategies against simulated opponents (11 citations). His research has been instrumental in advancing the RoboCup initiative, particularly through the FC Portugal team. Abreu’s work on comparing human and virtual robotic soccer performance (9 citations) and developing the Disturbance Description Language (DDL) for multi-robot missions (5 citations) further underscores his impact. With over 86 total citations, his studies on automatic event detection and data warehousing for RoboCup teams have provided coaches with powerful analytical tools. Abreu’s innovative approach continues to shape the future of autonomous multi-agent systems and sports analytics.

Research Focus

Key Achievements

Top Papers

1. 1
   Development of a flexible language for mission description for multi-robot missions

   20 citations · 2014
2. 2
   An automatic approach to extract goal plans from soccer simulated matches

   17 citations · 2012
3. 3
   Strategy planner: Graphical definition of soccer set-plays

   14 citations · 2014
4. 4
   Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent

   11 citations · 2014
5. 5
   Human versus virtual robotics soccer: A technical analysis

   9 citations · 2011
6. 6
   Development of a flexible language for disturbance description for multi-robot missions

   5 citations · 2015
7. 7
   AN INTELLIGENT FRAMEWORK FOR AUTOMATIC EVENT DETECTION IN ROBOTIC SOCCER GAMES - An Auxiliar Tool to Help Coaches Improve their Teams’ Performance

   4 citations · 2010
8. 8
   USING A DATAWAREHOUSE TO EXTRACT KNOWLEDGE FROM ROBOCUP TEAMS

   4 citations · 2008
9. 9
   Human vs. Robotic Soccer: How Far Are They? A Statistical Comparison

   2 citations · 2011

Key Collaborators

Contact & Links