ROMar 29

Transferability Through Cooperative Competitions

arXiv:2603.2777028.4h-index: 6
AI Analysis

For the robotics community, this work provides a structured approach to incentivize module reuse, though it is an incremental step addressing known integration bottlenecks.

The paper introduces a framework for cooperative robotics competitions (coopetitions) to enhance module transferability and composability across heterogeneous systems, demonstrated through the first euROBIN Coopetition with fifteen platforms. Results highlight challenges in integration and compatibility, with recommendations for future events.

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

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