Machines MDPI

: "Experiments in 3D Printing Electric Motors"
👨‍🏫Authors: Alex Ellery, Abdurr Elaskri, Mariappan Parans Paranthaman, Fabrice Bernier
👉Paper link: https://www.mdpi.com/2075-1702/13/8/679


Carleton University (Official)
MDPI

: "Fault Diagnostics of Synchronous Motor Based on Artificial Intelligence"
👨‍🏫 Author: Samir Abood, Annamalai Annamalai, Mohamed Chouikha, Turk Nejress
👉 More information: https://www.mdpi.com/2075-1702/13/2/73
🌟 Citations: 6

📖This research aims to improve the efficiency and performance of three-phase synchronous machines using Artificial Intelligence (AI) strategies. The research uses real-time data and optimization techniques to explore advanced diagnostic techniques, fault diagnosis, fault tolerance, and condition monitoring schemes to enhance safety, reliability, and performance in electric synchronous operations.


Prairie View A&M University
MDPI

: "Optimization of Toolpath Planning and CNC Machine Performance in Time-Efficient Machining"
👨‍🏫 Author: Arbnor Pajaziti, Orlat Tafilaj, Afrim Gjelaj, Besart Berisha
👉 More information: https://www.mdpi.com/2075-1702/13/1/65
🌟 Citations: 13

📖This study explores the optimization of the machining time in CNC milling machines by varying the machine parameters and toolpath strategies. A novel approach to the optimization of the G-code in time machining, focusing on reducing the machining time while maintaining the required precision and quality of the finished product, is presented. We propose a method that integrates advanced algorithms to identify and eliminate redundant movements, optimize the toolpaths, and improve the machining strategies.


Universiteti i Prishtinës
MDPI

: "Development of an Innovative Magnetorheological Gearbox for Positioning Control and Anti-Disturbance of a Robotic Arm"
👨‍🏫Authors: Yuyang Zhang, Shuaishuai Sun, Lei Deng, Guorui Wang, Rui Yu, Weihua Li, Xinglong Gong, Shiwu Zhang, Haiping Du, Jian Yang
👉Paper link: https://www.mdpi.com/2075-1702/13/1/56

📖In this study, the MR gearbox was first designed and prototyped. A characterization test was then conducted to verify its variable damping property. The classic Bouc–Wen model was used to describe the MR gearbox and then a mathematical model was established for the whole robotic arm. Additionally, a new variable damping control method was proposed for further improving the positioning precision and reducing energy consumption.


University of Electronic Science and Technology of China - UESTC
UOW: University of Wollongong, Australia
MDPI

🔓Special Issue "Digital Twin and AI for Adaptive and Dynamic Planning and Operation in Smart Manufacturing Systems" edited by Prof. Dr. Sang Do Noh from 성균관대학교-Sungkyunkwan University

👉Welcome your submission: https://www.mdpi.com/journal/machines/special_issues/3665D0AW3R

Submission Deadline: 31 October 2026

: "Experimental-Based Simulation of EV Drive Mechanism"
👨‍🏫Authors: Lakith Jinadasa, Perla Yadav, Alex Wray, Kambiz Ebrahimi
👉Paper link: https://www.mdpi.com/2075-1702/13/2/100

📖A robust experimental-based vehicle drive system model and parameters tuned to match the real-world performance of the electro-mechanical systems is presented. The results of the study demonstrate that the model successfully mirrored the performance of the powertrain under various conditions and lined up with existing research work.


Loughborough University
MDPI

: "Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning"
👨‍🏫 Author: Jiandong Liu, Wei Luo, Guoqing Zhang, Ruihao Li
👉 More information: https://www.mdpi.com/2075-1702/13/2/162
🌟 Citations: 11

📖We introduce an innovative approach for autonomous navigation and collision avoidance in dynamic environments for quadcopter UAVs, utilizing the YS-DADQN framework. This method incorporates Yolov8-StrongSort for enhanced dynamic obstacle detection. Additionally, a novel data storage mechanism for replay memory has been developed to boost the efficacy of training processes. Furthermore, we have crafted a reward function inspired by artificial potential fields that optimizes the UAV’s trajectory by considering both the proximity to the target and the avoidance of obstacles.


MDPI

🔓Special Issue "Control of Cyber–Physical Systems and IoT-Enabled Automation" edited by Dr. Jeremy Straub from University of West Florida

👉Welcome your submission: https://www.mdpi.com/journal/machines/special_issues/200E50EY9P

Submission Deadline: 30 November 2026

: "Adaptive Sliding Mode Predictive Control for Path Tracking of Wheeled Agricultural Vehicles"
👨‍🏫 Author: Wenlong Liu, Rui Guo, Jingyi Zhao
👉 More information: https://www.mdpi.com/2075-1702/13/2/157
🌟 Citations: 6

📖In this paper, an ASMPC algorithm was designed by combining the SMC algorithm with the MPC algorithm and using the fuzzy logic methodology to adjust the prediction horizon and the control horizon. Compared with the third conventional SMPC algorithm, the proposed ASMPC algorithm has two improvements, i.e., removing the sliding mode approach law and incorporating the fuzzy logic methodology, thus effectively improving the control precision and robustness of the path tracking system for wheeled agricultural vehicles.


Yanshan University Qinhuangdao Hebei, China
MDPI

: "Addressing Local Minima in Path Planning for Drones with Reinforcement Learning-Based Vortex Artificial Potential Fields"
👨‍🏫Authors: Boyi Xiao, Lujun Wan, Xueyan Han, Zhilong Xi, Chenbo Ding, Qiang Li
👉Paper link: https://www.mdpi.com/2075-1702/13/7/600

📖Abstract: This paper introduces a layered obstacle avoidance structure that merges vortex artificial potential (VAPF) fields with reinforcement learning (RL) for motion control. This solution harmoniously combines the flexibility of VAPF methods with the precision of RL for motion control, offering an effective strategy for autonomous navigation of quadrotor drones in complex environments.


University of Electronic Science and Technology of China - UESTC
MDPI

🔓 Special Issue "Advanced Mechatronic Systems: Data-Driven, Modelling and Knowledge-Enhanced Control Strategies" edited by Prof. Dr. Quan Min Zhu，Prof. Dr. Xin Hu and Prof. Dr. Shubo Wang

👉 Welcome your submission: https://www.mdpi.com/journal/machines/special_issues/0817F1H10C

📅 Submission date: 31 January 2027