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Robots Gone Wild: How to (Maybe) Control the Chaos of Autonomous Material Handling?
The increasing autonomy and navigational flexibility of AMRs compared to AGVs necessitate a new decision-making framework for planning and control in intralogistics. This study reviews the relevant literature, categorizes AMR planning and control decisions, and proposes a framework based on existing AGV methods, along with a research agenda for future studies.
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Scientists found that new, really smart robots that move things around inside big buildings need better rules to figure out where to go. They are working on new plans so these robots can do their job even better.
Posibles conflictos de intereses
None identified
Limitaciones identificadas
Limited Scope and Practical Relevance
The focus on largely technological aspects and fragmented literature on AMRs, as acknowledged by the authors, limits the generalizability of the findings and framework to broader operational research and management contexts. The emphasis on technical advancements without sufficient consideration of practical implementation challenges (e.g., organizational change management, workforce training, cybersecurity) weakens the paper's practical relevance.
Descriptive Methodology and Potential Publication Bias
The chosen methodology, consisting primarily of a literature review, is descriptive rather than analytical or empirical. Lack of quantitative analysis, case studies, or experiments restricts validation of the proposed framework and research agenda. The reliance on Scimago Journal Rank for article selection introduces a potential bias towards established journals, possibly overlooking valuable research in emerging venues.
Insufficient Attention to Socio-Technical Aspects
The framework and research agenda lack specificity in addressing the socio-technical implications of AMR deployment. Issues like job displacement, human-robot collaboration dynamics, ethical considerations, and the impact on labor markets are largely absent. This omission limits the paper's contribution to a holistic understanding of the impact of AMRs on intralogistics and society.
Unclear Definition of Decentralization
While the paper distinguishes AMRs from AGVs based on autonomy and navigation flexibility, it doesn't offer a precise definition of "decentralization" in the context of AMR control. Different degrees or types of decentralization could exist, and the paper's lack of clarity on this concept limits the framework's practical applicability.
Explicación de la calificación
This literature review provides a helpful overview of current research on planning and control of autonomous mobile robots (AMRs). The proposed framework offers a structure for classifying decisions, but its reliance on existing AGV methods without sufficient empirical validation weakens its novelty and applicability. Several limitations regarding methodology, scope, and insufficient attention to socio-technical aspects justify an average rating.
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Información del archivo
Título original:
Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda
Subido:
14 jul 2025, 17:25:09
Privacidad:
Público