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检索条件"任意字段=Proceedings of the 3rd International Conference on Mechatronics and Robotics Engineering"

共 6216 条记录，以下是1-10 订阅

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proceedings - 2023 3rd international conference on robotics and Control engineering, RobCE 2023

Proceedings - 2023 3rd International Conference on Robotics ...

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3rd international conference on robotics and Control engineering, RobCE 2023

ISBN: (纸本)9781450398107

The proceedings contain 40 papers. The topics discussed include: design and development of a semi-physical simulation for supernumerary robotic limbs;cross-media control and parameter tuning for water-air amphibious multi-rotor vehicle;a super-twisting-sliding-mode controller for four-rotor UAV;visual prediction based teleoperation control;planar problem motion stabilization using the rotational motion and the light pressure forces at the collinear libration point;Opensim-based dynamics simulation of upper limb;path planning based on electronic navigational charts for USV;research on the application of blockchain technology in big data auditing;human-like motion planning of anthropomorphic arms based on hierarchical strategy;design and application of the automatic Enteromorpha cleaning boat for offshore;and swing-up and balance control of rotary double inverted pendulum.

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2025 3rd international conference on mechatronics, Control and robotics, ICMCR 2025

2025 3rd International Conference on Mechatronics, Control a...

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3rd international conference on mechatronics, Control and robotics, ICMCR 2025

ISBN: (纸本)9798331544546

The proceedings contain 22 papers. The topics discussed include: industrial ahu control improvements using fuzzy logic for energy efficiency and comfort;a hybrid nut sorting system: utilizing machine vision and augmented information for efficient human-robot collaboration;using sliding mode controller to trajectory tracking of the four Mecanum wheel mobile robot applied in automotive plants;balancing ground reaction forces on quadrupeds for simplified motion controller design;geometric control methods for on-orbit assembly of modular spacecraft cluster;generalized wavefront path planning;a self-aware robotic machining architecture based on physics-informed neural networks;and improved path planning algorithms to minimize turning costs for a differential-drive autonomous surface vehicle.

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Geometric Control Methods for On-Orbit Assembly of Modular Spacecraft Cluster 3

Geometric Control Methods for On-Orbit Assembly of Modular S...

引用

3rd international conference on mechatronics, Control and robotics, ICMCR 2025

作者： Wang, Jingxian Chen, Rong Bai, Yuzhu Zhao, Yong College of Aerospace Science and Engineering National University of Defense Technology Changsha China

ISBN: (纸本)9798331544546

In this paper, a cluster geometry control method is proposed for the problem of on-orbit assembly of modular spacecraft clusters. The method bases the cluster system on a manifold. A collision avoidance constraint that does not generate terminal position mutual exclusion is designed for the characteristics of the assembly problem. Assembly and task time constraints are further considered to integrate the non-convex multiple constraints with the system metric matrix. Finally, model predictive control is used to realize tracking control. Simulation results show that the method can arrive at the target position to complete the on-orbit assembly within any initial position and different fixed time constraints and achieve the purpose of energy optimization. © 2025 IEEE.

关键词： Tracking (position)

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A Hybrid Nut Sorting System: Utilizing Machine Vision and Augmented Information for Efficient Human-Robot Collaboration 3

A Hybrid Nut Sorting System: Utilizing Machine Vision and Au...

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3rd international conference on mechatronics, Control and robotics, ICMCR 2025

作者： Sangchai, Kanisorn Adirekkittikun, Wongsakorn Vivatanaprasert, Kevin Boonpun, Methasit Chokthitirath, Wongpakorn Thipyophat, Nutdanai International School of Engineering Chulalongkorn University Robotics and Artificial Intelligence Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9798331544546

Efficient sorting and classification of nuts is a critical task in various industries, yet current methods often rely on machine vision systems that inspect each nut individually, making the process time-consuming and inefficient. Additionally, most processes are fully automated, lacking the option for human monitoring or intervention. The novelty of this paper lies in the development of a hybrid nut sorting system that combines machine vision with augmented information to facilitate efficient human-robot collaboration. Unlike traditional fully automated systems that exclude human involvement, our approach integrates a projector-based visual aid to provide real-time, easily interpretable information for manual or semi-automated sorting. Additionally, the system incorporates a CoreXY robot path and mechanism, enabling collaboration between humans and robots. The detection system consistently identifies nuts of different sizes with reliable accuracy, particularly for simultaneous multi-object detection compared to singular detection methods. As a hybrid sorting system, our solution also allows humans to manually sort nuts at a faster rate than the machine while utilizing the system's assistance. © 2025 IEEE.

关键词： Collaborative robots

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Using Sliding Mode Controller to Trajectory Tracking of the Four Mecanum Wheel Mobile Robot Applied in Automotive Plants 3

Using Sliding Mode Controller to Trajectory Tracking of the ...

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3rd international conference on mechatronics, Control and robotics, ICMCR 2025

作者： Huy, Tran Vo Dang Luan, Bui Thanh HUTECH Institute of Engineering HUTECH University Ho Chi Minh City Viet Nam Industrial Maintenance Training Center Ho Chi Minh City Viet Nam Thu Duc city Ho Chi Minh City Viet Nam

ISBN: (纸本)9798331544546

This research paper proposes a mobile robot configuration tailored to optimize transportation processes for the Skoda automobile manufacturing plant. When operating in a factory, the FMWMR is subject to external disturbances and uncertainties, so the sliding mode control (SMC) method is introduced. The control law is derived by selecting an appropriate Lyapunov function based on the robot's dynamic model. Simulation results in Matlab demonstrate the effectiveness of the proposed control algorithm in enabling the robot to follow predefined trajectories. © 2025 IEEE.

关键词： Mobile robots

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Efficient Path Planning and Cruise Control Features In Self-Driving Cars Using ROS2 & Machine Learning 3

Efficient Path Planning and Cruise Control Features In Self-...

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3rd IEEE international conference on robotics, Automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Hassan, Mumit Maliha, Mahmuda Haque Hossain, Jamil Talukder, Imnul Haque Ruman Hasan, Md. Mehedi Ahmed, Faisal Chittagong University of Engineering & Technology Department of Mechatronics & Industrial Engineering Chattogram4349 Bangladesh Chittagong University of Engineering & Technology Department of Electrical & Electronic Engineering Chattogram4349 Bangladesh Chittagong University of Engineering & Technology Department of Mechanical Engineering Chattogram4349 Bangladesh

ISBN: (纸本)9798331534400

This study proposes an integrated approach that uses machine learning and ROS2 as a combined tool to provide effective path planning and cruise control capabilities in self-driving cars. For object identification and environment perception, the suggested system makes use of Convolutional Neural Networks (CNN) and Haarcascade algorithm. As well as A∗ and Dijkstra algorithms are applied for finding optimal path and navigation through challenging situations such as T-junctions and cross intersections. Reliable autonomous navigation is demonstrated by the system's efficient integration of motion planning and lane assistance. The model can improve self-driving capabilities, leading to safer and more effective autonomous driving solutions, as demonstrated by experimental findings. © 2024 IEEE.

关键词： Convolutional neural networks

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A Self-Aware Robotic Machining Architecture Based on Physics-Informed Neural Networks 3

A Self-Aware Robotic Machining Architecture Based on Physics...

引用

3rd international conference on mechatronics, Control and robotics, ICMCR 2025

作者： Zhang, Yuanhui Wang, Mingfeng Wu, Kai South China University of Technology Shien-Ming Wu School of Intelligent Engineering Guangzhou China Engineering Brunel University Department of Mechanical and Aerospace London United Kingdom

ISBN: (纸本)9798331544546

Industrial robots have been widely used in various industrial scenarios due to their flexibility and expandability. However, robots are susceptible to instability at high speeds and load conditions due to their low stiffness and dynamic characteristics variation with posture. Enhancing the processing stability of industrial robots through data-driven modeling and physical modeling approaches suffers from different drawbacks, such as solution complexity and weak interpretability. With the emergence of physics-informed neural networks (PINNs), new methodologies can be developed to enhance the self-aware processing of robots. In this paper, typical industry application scenarios and dynamics of robotics as well as PINNs are introduced and analyzed, and a framework and method based on PINNs are proposed to enhance the self-aware operation of industrial robots. This framework and methodology contribute to the researcher's efforts to apply PINNs more intensively to robot operation in the future to improve the stability and intelligence of robot operation. © 2025 IEEE.

关键词： Industrial robots

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Optimal Trajectory Generation for Horizontal Boom Motion of Rotary Cranes Considering Load-Rotation Suppression 3

Optimal Trajectory Generation for Horizontal Boom Motion of ...

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3rd international conference on mechatronics, Control and robotics, ICMCR 2025

作者： Farrage, Abdallah Amir, Nur Azizah Takahashi, Hideki Sasai, Shintaro Sakurai, Hitoshi Okubo, Masaki Uchiyama, Naoki Toyohashi University of Technology Department of Mechanical Engineering Toyohashi441-8580 Japan Assiut University Faculty of Engineering Department of Mechatronics Engineering Assiut71515 Egypt Kobelco Construction Machinery Co. Ltd. Hiroshima731-5161 Japan

ISBN: (纸本)9798331544546

A rotary crane is one of the indispensable mechanical systems on construction sites, which is widely used to transport heavy loads and raw materials, such as steel bars and pipes, wood, and concretes. Confirming safe and efficient motion for rotary cranes is highly recommended for minimizing travel costs and operating time. During motion, the crane load freely produces two-dimensional load-sway and rotation, which influence the crane motion and may cause collisions and accidents. This study aims to simultaneously suppress the rotation and sway of the crane load using a time-optimal trajectory for horizontal boom motion under crane dynamics, load-rotation, and swaying angle constraints. The proposed optimization is conducted based on discretization of the optimal trajectory, which divides the boom motion into multiple positions between the initial location and final destination. Simulation results confirm the effectiveness of the proposed approach in suppressing loadrotation and sway not only during motion but also after reaching the destination. © 2025 IEEE.

关键词： Discrete-time optimization Industrial rotary crane Load-rotation Trajectory generation

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Literature Review on Advanced Cloud robotics for Enhanced Industrial Automation 3

Literature Review on Advanced Cloud Robotics for Enhanced In...

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3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Manonmani, A. Akash, S. Aswinraj, A. Manikandan, A. Saveetha Engineering College Department of Electronics and Instrumentation Engineering Chennai India

ISBN: (纸本)9798331509675

Cloud robotics is transforming industrial automation by combining cloud computing with robotic systems. This paper reviews recent advancements in cloud robotics and their industrial applications, highlighting the synergy between cloud infrastructure and robotic platforms. Key technologies like artificial intelligence, machine learning, and the Internet of Things are explored for their roles in enhancing scalability, computational efficiency, and real-time data processing. The paper also addresses challenges such as latency and data security, proposing solutions to overcome them. The findings suggest that cloud robotics can significantly improve productivity, cost-efficiency, and flexibility in manufacturing and other sectors, with future research directions aimed at promoting its broader adoption. © 2025 IEEE.

关键词： Cloud platforms

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Improved Path Planning Algorithms to Minimize Turning Costs for a Differential-Drive Autonomous Surface Vehicle 3

Improved Path Planning Algorithms to Minimize Turning Costs ...

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3rd international conference on mechatronics, Control and robotics, ICMCR 2025

作者： Huynh, An Luu, Toan Tran, Minh Nguyen, Hung School of Science Engineering & Technology RMIT University Vietnam Ho Chi Minh city Viet Nam Australian Maritime College University of Tasmania LauncestonTAS Australia

ISBN: (纸本)9798331544546

Technological advancements have facilitated the widespread adoption of Autonomous Surface Vehicles (ASVs) across various sectors of the marine industry, driven by their diverse range of applications. As ASVs are deployed in increasingly complex and challenging marine environments, research studies on path planning and obstacle avoidance have gained significant attention. This paper focuses on the path planning of an ASV equipped with differential drive thrusters, one of the most popular propulsion configurations for ASV. Traditional path-planning algorithms, such as Dijkstra, Greedy Best-First Search, and A∗, were implemented in this study and further modified to incorporate turning costs, optimizing the system by minimizing the number of turns required during operation. Our comparative analysis demonstrates that the Improved Greedy Best-First Search algorithm is considered as the most optimal algorithm to reduce about 37 % number of turns, improve the robustness of the system while remain suitable for small-scale ASVs. © 2025 IEEE.

关键词： Autonomous Surface Vehicle Differential Drive Thrusters Path Planning Turning Cost

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