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Transferability Through Cooperative Competitions

Rodrigo Serra, Carlos Azevedo, André Silva, Kevin Alcedo, Quentin Rouxel, Peter So, Alejandro Suarez, Alin Albu-Schäeffer, Pedro U. Lima

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

Transferability Through Cooperative Competitions

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

Paper Structure

This paper contains 19 sections, 5 equations, 5 figures, 3 tables.

Table of Contents

  1. Introduction
  2. Related Work
  3. Coopetition Framework
  4. Marketplace
  5. On-Site Coopetition
  6. Coopetition Service
  7. Coopetition Implementation
  8. Industrial Robots League (IRL)
  9. Service Robots League (SRL)
  10. Outdoor Robots League (ORL)
  11. Coopetition Results
  12. Module Sharing & Integration
  13. Teams Questionnaire & Feedback
  14. Modules, Standardization, and Transferability
  15. Coopetition Design
  16. ...and 4 more sections

Figures (5)

  • Figure 1: Group photo of the euROBIN Coopetition held in Nancy, France, in November 2024.
  • Figure 2: Coopetition design comprised of two stages, and tracked by a coopetition service tailored to its needs.
  • Figure 3: Coopetition timeline.
  • Figure 4: Teams participating in the euROBIN Coopetition across the Industrial (left), Service (center), and Outdoor Robots Leagues (right images). Image credits: © Inria / Photos B. Fourrier and Justine Galet.
  • Figure 5: Module Transferability Social Graphs during the Marketplace (Pre-Event) and On-Site Coopetition (Post-Event) phases. The nodes represent the teams, and the edges indicate the direction of module integration. For example, “INRIA → IIT” indicates that INRIA developed a module, which was then integrated by IIT. The node sizes are proportional to the amount of royalties the team receives, with larger nodes indicating more royalties. The node color corresponds to the league the team participated in. The edge color represents the general category of the modules as illustrated in the image.