Hybrid Collaboration Frameworks for Interdisciplinary Robotics Projects: A Comparative Study of Academic and Industrial Practices

Effective collaboration is critical to the success of robotics projects, which typically involve complex, interdisciplinary teams operating across diverse project environments. This study investigates collaboration techniques in robotics projects, with the aim of identifying key practices, analyzing success factors, and comparing approaches across academic and industrial contexts. A case study methodology is adopted, drawing on evidence from a range of robotics projects, including academic research initiatives, industrial deployments, and hybrid collaborations. The study evaluates how different collaboration strategies influence project outcomes. The findings demonstrate that Agile methodologies, concurrent engineering practices, and integrated communication tools significantly enhance team coordination and project efficiency. Furthermore, the study identifies key success factors such as strong leadership, effective communication, cultural awareness, and adaptability to dynamic project requirements. Notable differences are observed between academic and industrial collaboration approaches, highlighting the importance of context-specific strategies aligned with project objectives and operational constraints. Based on these findings, the study recommends the adoption of hybrid collaboration frameworks, increased investment in advanced communication technologies, targeted cross-cultural training, and the strengthening of leadership and team cohesion. Future research should explore domain-specific collaboration models, conduct longitudinal assessments, and examine the influence of emerging technologies on collaborative practices. This research contributes to the growing body of knowledge on collaborative systems in robotics by providing both theoretical insights and practical recommendations aimed at improving team performance and overall project success, particularly in interdisciplinary and geographically distributed environments.

Robot, Collaboration, academics, industry, projects, deployment, Agile

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