The RoboCup Middle Size League (MSL) is designed to advance robotics research through autonomous soccer played by robots. In this league, two teams of five robots compete on a field measuring 22 by 14 m. Research in the MSL focuses on distributed multi-agent systems with robots that rely solely on on-board sensors. At RoboCup 2024, held in Eindhoven, The Netherlands, the Tech United Eindhoven team from Eindhoven University of Technology claimed victory in the MSL competition, which felt particularly special as the tournament took place in their hometown. This article reflects on the tournament and the key developments that contributed to Tech United’s success. We highlight three main areas of progress. Firstly, we showcase a new trajectory planner based on a setpoint generator, which leads to more dynamic and more robust path planning. Secondly, we elaborate on the developments of Tech United towards implementing artificial intelligence for ball and obstacle detection. Finally, we present the progress made in using quadruped robots for the MSL.

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Tech United Eindhoven Middle Size League Winner 2024

  • Stefan Kempers,
  • Ruben Beumer,
  • Wiktor Bocian,
  • Aneesh Deogan,
  • Adrian Guillot,
  • Danny Hameeteman,
  • Jorrit Olthuis,
  • Wouter Aangenent,
  • Lars Blommers,
  • Ruud van den Bogaert,
  • Patrick van Brakel,
  • Luuk van Bree,
  • Matthias Briegel,
  • Dennis Bruijnen,
  • Hao Chen,
  • Sander Doodeman,
  • Yanick Douven,
  • Dev Joshi,
  • Kayden Knapik,
  • Ivan Kolodko,
  • Abhishek Krishnaswamy,
  • Harrie van de Loo,
  • Ferry Schoenmakers,
  • Peter Teurlings,
  • Luuk Verstegen,
  • René van de Molengraft

摘要

The RoboCup Middle Size League (MSL) is designed to advance robotics research through autonomous soccer played by robots. In this league, two teams of five robots compete on a field measuring 22 by 14 m. Research in the MSL focuses on distributed multi-agent systems with robots that rely solely on on-board sensors. At RoboCup 2024, held in Eindhoven, The Netherlands, the Tech United Eindhoven team from Eindhoven University of Technology claimed victory in the MSL competition, which felt particularly special as the tournament took place in their hometown. This article reflects on the tournament and the key developments that contributed to Tech United’s success. We highlight three main areas of progress. Firstly, we showcase a new trajectory planner based on a setpoint generator, which leads to more dynamic and more robust path planning. Secondly, we elaborate on the developments of Tech United towards implementing artificial intelligence for ball and obstacle detection. Finally, we present the progress made in using quadruped robots for the MSL.