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

共 6212 条记录，以下是1-10 订阅

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

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

引用

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

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

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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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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 ...

引用

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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Novel 6D Pose Estimation for Pick-and-Place Tasks using Model-based Learning 3

Novel 6D Pose Estimation for Pick-and-Place Tasks using Mode...

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Logesh, G. Vinoth, S. Pitchandi, Nagarajan Karthikeyan, A.G. Bannari Amman Institute of Technology Sathyamangalam India Department of Mechatronics Akshaya College of Engineering and Technology Coimbatore India Department of Mechatronics Bannari Amman Institute of Technology Sathyamangalam India School of Mechanical Engineering REVA University Bangalore India

ISBN: (纸本)9798331527549

The paper discusses the problem of creating an autonomous SCARA robot that can precisely carry out pick- and-place operations in unstructured settings. The suggested method combines computer vision and deep learning algorithms to provide accurate 6D pose estimation and reliable object detection. Combining YOLOv8 for object detection, hand-eye calibration for precise transformation to robot coordinates, and Principal Component Analysis (PCA) for orientation estimation within the generated point cloud, a novel method for estimating object pose is presented. Monocular depth estimation techniques are used to extract depth information from RGB images to create point clouds. The results demonstrate the potential of combining advanced algorithms with user-friendly design for robotics automation, showing notable gains in pose estimation accuracy and task execution efficiency. © 2025 IEEE.

关键词： Robotic arms

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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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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 ...

引用

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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Improving Robotic Arms Through Natural Language Processing, Computer Vision, and Edge Computing 3

Improving Robotic Arms Through Natural Language Processing, ...

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

作者： Sikorski, Pascal Yu, Kaleb Billadeau, Lucy Esposito, Flavio Aliakbarpour, Hadi Babaias, Madi Saint Louis University Computer Science Department Saint Louis United States Saint Louis University Aerospace & Mechanical Engineering Department Saint Louis United States Saint Louis University Computer Science Department Saint Louis United States Saint Louis University Computer Science Department Saint Louis United States Saint Louis University Aerospace & Mechanical Engineering Department Saint Louis United States

ISBN: (纸本)9798331544546

This paper introduces a prototype for a new approach to assistive robotics, integrating edge computing with Natural Language Processing (NLP) and computer vision to enhance the interaction between humans and robotic systems. Our proof of concept demonstrates the feasibility of using large language models (LLMs) and vision systems in tandem for interpreting and executing complex commands conveyed through natural language. This integration aims to improve the intuitiveness and accessibility of assistive robotic systems, making them more adaptable to the nuanced needs of users with disabilities. By leveraging the capabilities of edge computing, our system has the potential to minimize latency and support offline capability, enhancing the autonomy and responsiveness of assistive robots. Experimental results from our implementation on a robotic arm show promising outcomes in terms of accurate intent interpretation and object manipulation based on verbal commands. This research lays the groundwork for future developments in assistive robotics, focusing on creating highly responsive, user-centric systems that can significantly improve the quality of life for individuals with disabilities. © 2025 IEEE.

关键词： Robotic arms

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Development of a Soft Gripper Using Kirigami-Inspired Techniques 3

Development of a Soft Gripper Using Kirigami-Inspired Techni...

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

作者： Gomes, Efrem Olivio Chang, Shyang-Jye Saputra, Ilham Chang, Hsu-Feng National Yunlin University of Science and Technology Department of Mechanical Engineering Douliu64002 Taiwan Vocational School Universitas Gadjah Mada Department of Mechanical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798331544546

This study introduces a soft robotic gripper inspired by Kirigami, designed to improve flexibility and adaptability for handling delicate or irregular objects. The gripper, fabricated using silicone elastomers with strategic Kirigami cuts, allows significant deformation while maintaining structural integrity. Two models were tested on various objects. Model 1 showed superior performance, while Model 2, designed for larger objects, struggled with smaller and heavier items. The gripper demonstrated excellent adaptability, securely gripping diverse objects by conforming to complex geometries. Its potential for gentle handling makes it suitable for biomedical and agricultural applications. Durability tests revealed that the 1.5 mm thickness gripper maintained performance after over 100 cycles, outperforming the 1.0 mm version, which exhibited loosening after fewer uses. Compared to conventional grippers, the Kirigamiinspired design showed enhanced flexibility, precision, and durability, making it ideal for automation tasks. Future refinements in materials and design will further improve its performance. © 2025 IEEE.

关键词： Intelligent robots

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