期刊名：Machines

期刊主页：https://www.mdpi.com/journal/machines

本期为大家带来2025年Machines期刊12篇封面文章文献清单，聚焦机械工程前沿探索，汇集触觉设备、智能制造、智能机器人、数字孪生、机器学习控制、状态监测等最新成果，带我们领略工程创新的魅力与科技突破的力量。希望能为相关领域的学者提供思路与研究参考。

1.

A Wearable Stiffness-Rendering Haptic Device with a Honeycomb Jamming Mechanism for Bilateral Teleoperation

一种搭载蜂窝状阻抗机构、适用于双边遥操作的穿戴式刚度再现触觉装置

https://www.mdpi.com/2075-1702/13/1/27

Kwok, T.M.; Zhang, B.; Chow, W.T. A Wearable Stiffness-Rendering Haptic Device with a Honeycomb Jamming Mechanism for Bilateral Teleoperation. Machines 2025, 13, 27. https://doi.org/10.3390/machines13010027

2.

A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning

短篇综述：基于机器学习理解机械加工摩擦学的传统与最新建模方法

https://www.mdpi.com/2075-1702/13/2/81

Kano, S. A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning. Machines 2025, 13, 81. https://doi.org/10.3390/machines13020081

3.

A Framework for Real-Time Autonomous Robotic Sorting and Segregation of Nuclear Waste: Modelling, Identification and Control of Dexter^TM Robot

核废料实时自主机器人分拣分离框架：Dexter^TM 机器人建模、辨识与控制

https://www.mdpi.com/2075-1702/13/3/214

Poozhiyil, M.; Argin, O.F.; Rai, M.; Esfahani, A.G.; Hanheide, M.; King, R.; Saunderson, P.; Moulin-Ramsden, M.; Yang, W.; García, L.P.; et al. A Framework for Real-Time Autonomous Robotic Sorting and Segregation of Nuclear Waste: Modelling, Identification and Control of DexterTM Robot. Machines 2025, 13, 214. https://doi.org/10.3390/machines13030214

4.

Leveraging Digital Twin Technology with a Human-Centered Approach to Automate a Workstation in the Logistics Sector of Made in Italy: CHIMAR Use Case

融合数字孪生技术与以人为本理念，实现意大利制造物流领域工作站自动化 ——CHIMAR 应用实例

https://www.mdpi.com/2075-1702/13/4/303

Bertoli, A.; Nini, M.; Cibrario, V.; Vargas, M.; Perona, P.; Rossi, L.; Benedetti, L.; Nicolinti, A.; Fantuzzi, C. Leveraging Digital Twin Technology with a Human-Centered Approach to Automate a Workstation in the Logistics Sector of Made in Italy: CHIMAR Use Case. Machines 2025, 13, 303. https://doi.org/10.3390/machines13040303

5.

Recurrent Neuronal Networks for the Prediction of the Temperature of a Synchronous Machine During Its Operation

基于循环神经网络的同步电机运行状态温度预测

https://www.mdpi.com/2075-1702/13/5/387

Pascual, R.; Esteban, M.; Guerrero, J.M.; Platero, C.A. Recurrent Neuronal Networks for the Prediction of the Temperature of a Synchronous Machine During Its Operation. Machines 2025, 13, 387. https://doi.org/10.3390/machines13050387

6.

Condition-Aware Autoencoder and Transfer Learning-Based Estimation of Milling Cutting Forces from Spindle Vibration Signals

基于工况感知自编码器与迁移学习的主轴振动信号铣削切削力估算

https://www.mdpi.com/2075-1702/13/6/461

Ryu, J.-D.; Lee, J.; Kim, S.-R.; Lee, M.C. Condition-Aware Autoencoder and Transfer Learning-Based Estimation of Milling Cutting Forces from Spindle Vibration Signals. Machines 2025, 13, 461. https://doi.org/10.3390/machines13060461

7.

Condition Monitoring and Fault Prediction in PMSM Drives Using Machine Learning for Elevator Applications

面向电梯应用的永磁同步电机驱动系统机器学习状态监测与故障预测

https://www.mdpi.com/2075-1702/13/7/549

Vlachou, V.I.; Karakatsanis, T.S.; Efstathiou, D.E.; Vlachou, E.I.; Vologiannidis, S.D.; Balaska, V.E.; Gasteratos, A.C. Condition Monitoring and Fault Prediction in PMSM Drives Using Machine Learning for Elevator Applications. Machines 2025, 13, 549. https://doi.org/10.3390/machines13070549

8.

Real-Time Temperature Estimation of the Machine Drive SiC Modules Consisting of Parallel Chips per Switch for Reliability Modelling and Lifetime Prediction

面向可靠性建模与寿命预测的单开关多芯片并联型机床驱动器碳化硅模块实时温度估算

https://www.mdpi.com/2075-1702/13/8/689

Kamel, T.; Olagunju, O.; Johnson, T. Real-Time Temperature Estimation of the Machine Drive SiC Modules Consisting of Parallel Chips per Switch for Reliability Modelling and Lifetime Prediction. Machines 2025, 13, 689. https://doi.org/10.3390/machines13080689

9.

Semi-Active Control of a Two-Phase Fluid Strut Suspension via Deep Reinforcement Learning

基于深度强化学习的两相流体支柱悬架半主动控制

https://www.mdpi.com/2075-1702/13/9/854

Seifi, A.; Yin, Y.; Yao, Y.; Rakheja, S. Semi-Active Control of a Two-Phase Fluid Strut Suspension via Deep Reinforcement Learning. Machines 2025, 13, 854. https://doi.org/10.3390/machines13090854

10.

A Novel Empirical-Informed Neural Network Method for Vehicle Tire Noise Prediction

一种融合经验知识的新型神经网络车辆轮胎噪声预测方法

https://www.mdpi.com/2075-1702/13/10/911

Dai, P.; Dai, R.; Yin, Y.; Wang, J.; Huang, H.; Ding, W. A Novel Empirical-Informed Neural Network Method for Vehicle Tire Noise Prediction. Machines 2025, 13, 911. https://doi.org/10.3390/machines13100911

11.

Enabling Manual Guidance in High-Payload Industrial Robots for Flexible Manufacturing Applications in Large Workspaces

面向大型作业空间柔性制造应用的重载工业机器人手动导引实现方法

https://www.mdpi.com/2075-1702/13/11/1016

Avanzi La Grotta, P.; Salami, M.; Trentadue, A.; Bilancia, P.; Pellicciari, M. Enabling Manual Guidance in High-Payload Industrial Robots for Flexible Manufacturing Applications in Large Workspaces. Machines 2025, 13, 1016. https://doi.org/10.3390/machines13111016

12

A Comprehensive Review of Theoretical Advances, Practical Developments, and Modern Challenges of Autonomous Unmanned Ground Vehicles

自主地面无人车辆：理论进展、实际应用与现存前沿挑战综述

https://www.mdpi.com/2075-1702/13/12/1071

La Regina, R.; Genel, Ö.E.; Pappalardo, C.M.; Guida, D. A Comprehensive Review of Theoretical Advances, Practical Developments, and Modern Challenges of Autonomous Unmanned Ground Vehicles. Machines 2025, 13, 1071. https://doi.org/10.3390/machines13121071

Machines 期刊介绍

期刊名：Machines (ISSN: 2075-1702)

主编：Antonio J. Marques Cardoso, University of Beira Interior, Portugal

期刊主要发表机械设备故障诊断和预测、机械设计、机电一体化、机器人、叶轮机械、控制及自动化、电机和驱动器、先进制造等领域的最新学术成果。期刊已被Scopus, SCIE (Web of Science), Inspec等多个数据库收录。