Journal of Power Sources, Journal Year: 2024, Volume and Issue: 610, P. 234674 - 234674
Published: May 17, 2024
Language: Английский
Journal of Economy and Technology, Journal Year: 2023, Volume and Issue: 1, P. 222 - 241
Published: Nov. 1, 2023
Artificial Intelligence (AI) algorithms can be employed to enhance the security of blockchain networks in era industry 4.0. Smart contracts, powered by blockchain, developed using AI capabilities. These contracts execute themselves based on predefined conditions, automating various processes and reducing need for intermediaries. Blockchain provides a transparent immutable ledger supply chain transactions. integrated analyze this data, providing insights into entire chain. This helps tracking tracing products, ensuring authenticity, optimizing data-driven decisions. data from manufacturing process recorded blockchain. allows predictive maintenance quality control, helping identify address issues before they result defects or downtime. work together secure massive amount generated IoT devices an Industry 4.0 setting. ensures integrity immutability while optimization. facilitate creation decentralized energy grids where optimize distribution trading through smart contracts. support collaborative different entities securely efficiently collaborate production processes. enables individuals organizations monetize their data. help determine value fair compensation tokenized ecosystems. In paper, applications AI-Powered Technology is reviewed discussed future research works are also suggested. As result, efficiency, transparency, across industrial enhanced analyzing recent achievements
Language: Английский
Citations
16
Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 88, P. 102735 - 102735
Published: Feb. 10, 2024
The adoption of multiple robots for collaborative additive manufacturing is rapidly gaining attention in the industry and research community due to their numerous advantages, such as fast efficient printing large-scale parts suitability hazardous or extraterrestrial environments. However, fully harness potential multi-robot systems, several challenges must be addressed from a process planning perspective. These include part decomposition, part/robot placement, trajectory planning, print scheduling considering various quality, energy efficiency, time, reachability constraints well different robotic team compositions including mobile/stationary robots, aerial mobility/ground mobility, heterogenous/homogenous teams. This work explores optimal positioning with respect 3D printer inversely case large structures (given that structure assumed grounded/fixed not movable) scenarios. A novel decision-making methodology robot placement problem, i.e., around structure, based on consumption during final dimensional accuracy printed proposed. decision making guided by construction spatial energy-quality map each robot's bases kinematics geometry assigned using proposed quality modules. Additionally, simulated annealing algorithm adopted quickly identify positionings task. Different studies demonstrating effectiveness reducing while maintaining required are presented. Finally, sensitivity analyses performed evaluate impact parameters velocity acceleration, number decomposition scenarios, ratio reach metrics.
Language: Английский
Citations
4
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 255 - 285
Published: Jan. 1, 2025
Language: Английский
Citations
0
International Journal of Low-Carbon Technologies, Journal Year: 2025, Volume and Issue: 20, P. 341 - 352
Published: Jan. 1, 2025
Abstract To improve the performance of new energy-powered robots, a method for optimizing robots has been proposed, based on low-carbon power demand forecasting model. The approach advocated leveraging to optimize system design and control strategies. Then, model robotic demands was established, alongside refinement evaluation mechanism. Results indicated significant correlation between operational parameters linked performance. precision our notably high, enabling provision specific optimization strategies tailored diverse contexts.
Language: Английский
Citations
0
Disability and Rehabilitation Assistive Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18
Published: Feb. 18, 2025
Purpose The increasing prevalence of upper limb dysfunctions due to stroke, spinal cord injuries, and multiple sclerosis presents a critical challenge in assistive technology: designing robotic arms that are both energy‑efficient capable effectively performing activities daily living (ADLs). This is exacerbated by the need ensure these devices accessible for non‑expert users can operate within spatial constraints typical everyday environments. Despite advancements wheelchair‑mounted (WMRAs), existing designs do not achieve an optimal balance—minimizing energy consumption space while maximizing kinematic performance workspace. Most perform range ADLs, but they account outdoor environments where conservation crucial. Furthermore, WMRAs be compact idle configurations—essential navigating through doors or between aisles—adds another layer complexity their design. paper addresses multifaceted design challenges proposing novel objective function optimize link lengths WMRAs, aiming reduce without compromising robots' operational capabilities.
Language: Английский
Citations
0
Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108349 - 108349
Published: March 1, 2025
Language: Английский
Citations
0
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
Citations
0
Deleted Journal, Journal Year: 2025, Volume and Issue: 7(5)
Published: April 16, 2025
Abstract This paper presents a novel methodology for optimizing various kinematic (velocity, acceleration, and jerk) kinetic (required force, mechanical power, energy consumption) variables without the need to preselect configure drive system elements. The approach is based on saturation adjustment of parabolic ramp velocity profiles in trajectory planning tasks. To develop this methodology, mathematical model be optimized was formulated, accounting potential presence non-inertial constant loads that must overcome. variation these over cycle time analyzed, as well influence selected profile value their behavior. then applied case study. findings indicate absence proposed resulted variable increases ranging from 50 350% relative optimal values. Likewise, increased by up 366% compared values when not implemented. applicable transport systems, Cartesian manipulators, motion control mobile robots, mechatronic systems which primary forces are constant.
Language: Английский
Citations
0
Journal of Vibration and Control, Journal Year: 2025, Volume and Issue: unknown
Published: April 17, 2025
Due to the continuous rise in energy costs for industrial robots (IRs), conservation has become one of primary concerns modern industry. This article presents a new, efficient approach optimal trajectory planning terms time, jerk, and energy, while taking into consideration kinematic constraints robot. A fifth-order B-spline interpolation method is adopted curve fitting joint space ensure smooth jerk robot’s articulation movements. The adjustable parameters are then optimized using non-dominated sorting genetic algorithm II (NSGA-II) minimize traveling consumption (EC) throughout trajectory. Unlike time establishing precise mathematical relationship between dynamics robot across different trajectories challenging not easily applicable. study uses deep learning technique long short-term memory (LSTM) accurately uncover quantitative relationships operational consumption. main advantage this approach, compared other proposed optimizations, that it can predict optimize before real-time execution task, does require setting priori overall results on six degree freedom demonstrate suggested reduces by 49.87% average absolute 60.56% chord length distribution with same time.
Language: Английский
Citations
0
Robotics, Journal Year: 2025, Volume and Issue: 14(5), P. 57 - 57
Published: April 26, 2025
Quadruped robots have emerged as a prominent field of research due to their exceptional mobility and adaptability in complex terrains. This paper presents an overview quadruped robots, encompassing design principles, control mechanisms, perception systems, applications across various industries. We review the historical evolution technological milestones that shaped robotics. To understand impact on performance functionality, key aspects mechanical are analyzed, including leg configurations, actuation material selection. Control strategies for locomotion, balance, navigation all examined, highlighting integration artificial intelligence machine learning enhance autonomy. also explores sensing technologies enable environmental interaction decision-making capabilities. Furthermore, we systematically examine diverse sectors military, search rescue, industrial inspection, agriculture, entertainment. Finally, address challenges limitations, technical hurdles, ethical considerations, regulatory issues, propose future directions advance field. By structuring this systematic study, ensure clarity comprehensive understanding domain, making it valuable resource researchers engineers
Language: Английский
Citations
0