Transferability Through Cooperative Competitions

arXiv cs.RO / 3/31/2026

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Key Points

  • The paper proposes a cooperative robotics competition (“coopetition”) framework aimed at improving the transferability and composability of robotics modules (software, hardware, and data) across heterogeneous robot platforms.
  • It incentivizes collaboration through structured task design, shared infrastructure, and a royalty-based scoring mechanism that rewards reusable module contributions.
  • As a case study, it describes the first euROBIN Coopetition under the European Robotics and AI Network (euROBIN), where fifteen platforms competed across Industrial, Service, and Outdoor domains.
  • The authors report real-world obstacles to module reuse, especially integration complexity and compatibility issues between different systems and stacks.
  • The paper analyzes participant performance and integration behaviors, then distills lessons learned and recommendations for designing future coopetitions more effectively.

Abstract

This paper presents a novel framework for cooperative robotics competitions (coopetitions) that promote the transferability and composability of robotics modules, including software, hardware, and data, across heterogeneous robotic systems. The framework is designed to incentivize collaboration between teams through structured task design, shared infrastructure, and a royalty-based scoring system. As a case study, the paper details the implementation and outcomes of the first euROBIN Coopetition, held under the European Robotics and AI Network (euROBIN), which featured fifteen robotic platforms competing across Industrial, Service, and Outdoor domains. The study highlights the practical challenges of achieving module reuse in real-world scenarios, particularly in terms of integration complexity and system compatibility. It also examines participant performance, integration behavior, and team feedback to assess the effectiveness of the framework. The paper concludes with lessons learned and recommendations for future coopetitions, including improveme