Production & Manufacturing Research, Год журнала: 2025, Номер 13(1)
Опубликована: Май 6, 2025
Язык: Английский
Processes, Год журнала: 2025, Номер 13(3), С. 832 - 832
Опубликована: Март 12, 2025
Industrial robotics has shifted from rigid, task-specific tools to adaptive, intelligent systems powered by artificial intelligence (AI), machine learning (ML), and sensor integration, revolutionizing efficiency human–robot collaboration across manufacturing, healthcare, logistics, agriculture. Collaborative robots (cobots) slash assembly times 30% boost quality 15%, while reinforcement enhances autonomy, cutting errors energy use 20%. Yet, this review transcends descriptive summaries, critically synthesizing these trends expose unresolved tensions in scalability, cost, societal impact. High implementation costs legacy system incompatibilities hinder adoption, particularly for SMEs, interoperability gaps—despite frameworks, like OPC UA—stifle multi-vendor ecosystems. Ethical challenges, including workforce displacement cybersecurity risks, further complicate progress, underscoring a fragmented field where innovation outpaces practical integration. Drawing on systematic of high-impact literature, study uniquely bridges technological advancements with interdisciplinary applications, revealing disparities economic feasibility equitable access. It critiques the literature’s isolation trends—cobots’ safety, ML’s perception’s precision—proposing following cohesive research directions: cost-effective modularity, standardized protocols, ethical frameworks. By prioritizing interoperability, sustainability, paper charts path evolve inclusively, offering actionable insights researchers, practitioners, policymakers navigating dynamic landscape.
Язык: Английский
Процитировано
1
Machines, Год журнала: 2025, Номер 13(2), С. 81 - 81
Опубликована: Янв. 23, 2025
Tribology plays a critical role in machining technologies. Friction is an essential factor processes such as composite material and bonding. This short review highlights the recent advancements controlling leveraging tribological phenomena machining. For instance, high-precision increasingly relying on situ observation real-time measurement of tools, test specimens, equipment for effective process control. Modern engineering materials often incorporate functional metastable states, composites dissimilar materials, rather than conventional stable-phase materials. In these cases, effects during can impede precision. On other hand, friction additive manufacturing demonstrates constructive application tribology. Traditionally, understanding mitigating have involved developing physical chemical models individual factors using simulations to inform decisions. However, accurately predicting system behavior has remained challenging due complex interactions between machine components variations initial operational (or deteriorated) states. Recent innovations introduced data-driven approaches that predict without need detailed models. By integrating advanced monitoring technologies learning, methods enable predictions within controllable parameters live data. shift opens new possibilities achieving more precise adaptive
Язык: Английский
Процитировано
0
Cogent Social Sciences, Год журнала: 2025, Номер 11(1)
Опубликована: Март 16, 2025
Artificial Intelligence (AI) has the ability to transform way organizations operate, but imposes a unique challenge for them. Adoption of AI might reshape human resource management patterns which calls optimization roles in workplaces dealing with technology. Critical decision points and alternatives are identified through systematic review literature Analytical Hierarchy Approach (AHP) is applied analyze their priority weights. The results AHP model indicate adaptive organization structure, specialized teams, ethics oversight governance innovation infrastructure be significant integration. Furthermore, sensitivity analysis technique employed examine robustness outcomes at varying criteria weights shows no impact on ranks indicating achieved if weight changes overall process. This study contributes expanding discussion workforce transformation era.
Язык: Английский
Процитировано
0
Actuators, Год журнала: 2025, Номер 14(4), С. 177 - 177
Опубликована: Апрель 4, 2025
Cooperative robotics relies on robust fault-tolerant control (FTC) to maintain resilience in dynamic environments, where actuators are pivotal system reliability. This review synthesizes advancements hybrid FTC, integrating mechanical redundancy with electronic adaptability and learning-based techniques like deep reinforcement learning swarm-optimized control, drawing from interdisciplinary evidence across manufacturing, healthcare, agriculture, space exploration, underwater robotics. It examines how these approaches enhance uptime, precision, coordination multi-robot systems, reporting significant improvements despite physical validation being limited approximately one-quarter of strategies. Addressing gaps prior work by overcoming limitations traditional methods, it extends Construction 5.0, supporting human–robot collaboration (HRC) through scalability adaptability. Future efforts will prioritize broader testing, standardized benchmarks, safety considerations, optimization under uncertainty align theoretical gains practical outcomes, enhancing resilient automation domains.
Язык: Английский
Процитировано
0
Equilibrium Quarterly Journal of Economics and Economic Policy, Год журнала: 2025, Номер 20(1), С. 15 - 33
Опубликована: Март 30, 2025
Язык: Английский
Процитировано
0
Production & Manufacturing Research, Год журнала: 2025, Номер 13(1)
Опубликована: Май 6, 2025
Язык: Английский
Процитировано
0