Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Cognitive Robotics, Journal Year: 2023, Volume and Issue: 3, P. 54 - 70

Published: Jan. 1, 2023

Artificial Intelligence (AI), Machine Learning (ML), and Deep (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, DL are transforming robotics, making robots more intelligent, efficient, adaptable to complex tasks environments. Some applications include autonomous navigation, object recognition manipulation, natural language processing, predictive maintenance. These technologies also being used development collaborative (cobots) that can work alongside humans adapt changing environments tasks. The be transportation systems order provide safety, efficiency, convenience passengers companies . Also, playing a critical role advancement manufacturing assembly robots, enabling them efficiently, safely, intelligently. Furthermore, they wide range aviation management, helping airlines improve reduce costs, customer satisfaction. Moreover, help taxi better, safer services customers. research presents an overview current developments discusses various robot modification. Further works regarding suggested fill gaps between existing studies published papers. By reviewing systems, it is possible investigate modify performances enhance productivity robotic industries.

Language: Английский

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Advancing sustainable manufacturing: a systematic exploration of Industry 5.0 supply chains for sustainability, human-centricity, and resilience

Production Planning & Control, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 30

Published: July 23, 2024

The emergence of Industry 5.0 provides new perspectives for the manufacturing sector, aiming to create sustainable, human-centric, and resilient approaches. Supply chains perform a vital role in realising these objectives by connecting suppliers customers providing value-added products services. However, despite growing interest, consideration this paradigm shift industry remains amorphous. In order address gap, paper presents systematic literature review 103 research articles from an initial corpus 8,079 proposes conceptual framework Chain within sector. is scaffolded on thematic analysis literature, including drivers transition, impacts supply chains, challenges, outcomes. This study valuable insights researchers, practitioners, policymakers seeking examine implications highlighting its potential enhance sustainability, social well-being, economic growth. Furthermore, proposed opportunities serve guide future practical applications around emerging topic.

Language: Английский

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Motion planning for robotics: A review for sampling-based planners

Biomimetic Intelligence and Robotics, Journal Year: 2025, Volume and Issue: unknown, P. 100207 - 100207

Published: Jan. 1, 2025

Language: Английский

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A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework

Applied Sciences, Journal Year: 2022, Volume and Issue: 12(23), P. 12377 - 12377

Published: Dec. 3, 2022

In this review, the industry’s current issues regarding intelligent manufacture are presented. This work presents status and potential for I4.0 I5.0’s revolutionary technologies. AI and, in particular, DRL algorithms, which a perfect response to unpredictability volatility of modern demand, studied detail. Through introduction RL concepts development those with ANNs towards DRL, variety these kinds algorithms highlighted. Moreover, because data based, their modification meet requirements industry operations is also included. addition, review covers inclusion new concepts, such as digital twins, an absent environment model how it can improve performance application even more. highlights that applicability demonstrated across all manufacturing operations, outperforming conventional methodologies most notably, enhancing process’s resilience adaptability. It stated there still considerable be carried out both academia fully leverage promise disruptive tools, begin deployment industry, take step closer I5.0 industrial revolution.

Language: Английский

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An Overview of Industrial Robots Control and Programming Approaches

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(4), P. 2582 - 2582

Published: Feb. 16, 2023

Nowadays, manufacturing plants are required to be flexible respond quickly customer demands, adapting production and processes without affecting their efficiency. In this context, Industrial Robots (IRs) a primary resource for modern factories due versatility which allows the execution of flexible, reconfigurable, zero-defect tasks. Even so, control programming commercially available IRs limiting factors effective implementation, especially dynamic environments or when complex applications required. These issues have stimulated development new technologies that support more efficient methods robot programming. The goal research is identify evaluate main approaches proposed in scientific papers by robotics industry last decades. After critical review standard IR schematic, paper discusses alternatives summarizes characteristics, range applications, remaining limitations.

Language: Английский

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Management toward Industry 5.0: a co-workership approach on digital transformation for future innovative manufacturing

European Journal of Innovation Management, Journal Year: 2024, Volume and Issue: unknown

Published: March 11, 2024

Purpose The purpose is to apply the co-workership approach contribute guidelines for manufacturing managers exploit potential of digital technologies through a human-centric perspective. Design/methodology/approach A longitudinal single case study within including mix qualitative methods with 18 in-depth interviews and focus groups 25 participants covering all organizational levels functions. Findings demonstrate that re-interpret management lens Industry 5.0 (I5.0), need respond call more perspective by focusing on prerequisites, such as holistic understanding, inclusive change, leadership practices, learning innovation processes. Research limitations/implications Limitations due are compensated rich data collected over time strengths mixed reflecting developing ideas jointly. Practical implications Managers’ awareness prerequisites promote human perspectives in functions at transformation pivotal. Thus, proposed presented managers’ future innovative manufacturing. Social emphasize acknowledging how changes affect inclusion employees, thus challenge culture, structure, communication trust toward I5.0. Originality/value contributes emerging field I5.0 applying an interdisciplinary understand elusive phenomena enfolding technology humans.

Language: Английский

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Advancements in Soft Robotics: A Comprehensive Review on Actuation Methods, Materials, and Applications

Polymers, Journal Year: 2024, Volume and Issue: 16(8), P. 1087 - 1087

Published: April 12, 2024

The flexibility and adaptability of soft robots enable them to perform various tasks in changing environments, such as flower picking, fruit harvesting, vivo targeted treatment, information feedback. However, these fulfilled functions are discrepant, based on the varied working driving methods, materials. To further understand principle research emphasis robots, this paper summarized current status from aspects actuating methods (e.g., humidity, temperature, PH, electricity, pressure, magnetic field, light, biological, hybrid drive), materials (like hydrogels, shape-memory materials, other flexible materials) application areas (camouflage, medical devices, electrical equipment, grippers, etc.). Finally, we provided some opinions technical difficulties challenges comprehensively comprehend lucubrate their applications, improve quality our lives.

Language: Английский

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Cognitive intelligence in industrial robots and manufacturing

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 191, P. 110106 - 110106

Published: March 30, 2024

Language: Английский

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Encountering Robotic Art: The Social, Material, and Temporal Processes of Creation with Machines

Published: April 24, 2025

Robots extend beyond the tools of productivity; they also contribute to creativity. While typically defined as utility-driven technologies designed for productive or social settings, role robots in creative settings remains underexplored. This paper examines how participate artistic creation. Through semi-structured interviews with robotic artists, we analyze impact on processes and outcomes. We identify critical roles interaction, material properties, temporal dynamics facilitating Our findings reveal that creativity emerges from co-constitution robots, audiences within spatial-temporal dimensions. Based these insights, propose several implications socially informed, material-attentive, process-oriented approaches creation computing systems. These can inform domains HCI, including media art creation, craft, digital fabrication, tangible computing.

Language: Английский

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Industrial Robots and Urban Carbon Emissions: Exploring Mechanisms and Implications

Sustainable Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

ABSTRACT Urbanization, a dominant trend in global development, is integral to economic growth and social transformation but remains primary driver of carbon emissions, threatening ecological stability climate goals. This study investigates the potential industrial robots mediate nexus between urban expansion aligning with SDG 9, 11, 13, which focus on industry innovation, sustainable cities, action. Using comprehensive dataset spanning 61 countries, we employ panel data threshold regression models examine how influence dynamics. Our findings highlight that while urbanization tends increase both total per capita can significantly mitigate these effects under specific conditions. Notably, application intensity plays critical role: when robot utilization exceeds levels, exacerbating impact emissions shifts mitigative one, underscoring transformative capacity robotics for low‐carbon development. However, facilitating decarbonization accompanied by several challenges. Addressing challenges essential ensuring are not only tools development also environmentally their lifecycle usage. provides novel insights into role as moderating force decarbonization, emphasizing need policies address drawbacks.

Language: Английский

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