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Wear behavior of A356/ Al2O3/MoS2 hybrid nanocomposites

Materials Today: Proceedings 2022年 54卷 409-414页

作者： Ajay Kumar, K. Mallikarjuna, C. Department of Mechanical Engineering MIT Thandavapura Mysore571302 India Department of Industrial Automation and robotics PG studies VTU Mysore 570029 India

A356 composites with alumina and molybdenum disulfide nanoparticles are a distinct category of engineered materials developed for tribological use. This evolution has led to an attempt to investigate the microstructure and wear behavior of A356 hybrid nanocomposites reinforced with nano Al2O3 (0.5, 1, and 1.5 wt% of Al2O3) and nano MoS2 (0.5 wt% of MoS2) is fabricated by stir casting technique. Wear behavior of A356/ Al2O3/ MoS2 nanocomposites was tested by using the pin on disc equipment. The sliding wear tests were carried out at 10–50 N normal load insteps of 10 N, 2 m/s sliding velocity and 1000–5000 m sliding distance insteps of 1000 m/s. Results have shown that the increase of alumina and the addition of MoS2 nano particles have a positive impact on the improvement of tribological properties of the hybrid nanocomposites. The coefficient of friction and wear rate of hybrid nanocomposites are reduced with the addition of Al2O3 and a solid lubricant MoS2 particle. © 2021

关键词： Wear of materials

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Utilizing Mobile Robots to Teach Dengue and Chikungunya Prevention in Brazilian Schools 16

Utilizing Mobile Robots to Teach Dengue and Chikungunya Prev...

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16th Brazilian Symposium on robotics and 15th Workshop on robotics in Education, SBR-WRE 2024

作者： Costa, R.B. Gomes, Pedro H.L. Rodriguez Silva, Luiz F. Pastrana, M.A. Gontijo, Maria C.C. Luiz, M.S. Muñoz, Daniel M. Department of Mechanical Engineering Mechatronics Graduate Program University of Brasilia DF Brasilia Brazil Faculty of Gama Electronics Engineering Undergraduate Program University of Brasilia DF Brasilia Brazil Faculty of Gama Aerospace Engineering Undergraduate Program University of Brasilia DF Brasilia Brazil

ISBN: (纸本)9798350391084

This paper introduces a novel approach to combating the spread of Dengue and Chikungunya, two prevalent arboviruses in tropical regions, especially in Brazil. The research presents a low-cost differential topology robot designed as an educational tool to raise awareness about mosquito breeding grounds among students and teachers in public schools across the Federal District, Brazil. Developed at the University of Brasilia, the robot is deployed in collaboration with the Federal District Health department to support prevention campaigns in schools. The paper evaluates the effectiveness of this innovative tool in enhancing community engagement and improving health outcomes. The findings suggest that integrating robotics into health education can significantly elevate awareness and strengthen prevention strategies against arboviral diseases. ©2024 IEEE.

关键词： Mobile robots

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Machine Vision Applications in robotics and Automation 9

Machine Vision Applications in Robotics and Automation

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9th International Conference on Science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Bharathi, G.P. Kavitha, P. Abhang, Laxman Baburao Rathinasabapathi, G. Sharma, Vipin Sathish, T. Sri Sai Ram Institute of Technology Department of Computer And Communication Engineering West Tambaram Tamil Nadu Chennai600045 India R.M.K Engineering College Department of Electrical And Electronics Engineering Tamil Nadu Kavaraipettai601206 India Pravara Rural Engineering College Department of Automation And Robotics Maharashtra Loni413736 India Panimalar Engineering College Department of Mechanical Engineering Tamil Nadu Chennai600123 India Medi-Caps University Department of Mechanical Engineering Madhya Pradesh Indore453331 India Saveetha School of Engineering Simats Department of Mechanical Engineering Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350365092

The extensive incorporation of machine vision into the fields of robotics and automation in a variety of different ways. The various uses of machine vision and the revolutionary impact it has on the capabilities of robotic systems. This investigation is fueled by improvements in imaging technology and artificial intelligence. In the abstract, major features such as object detection, navigation, and human-robot interaction are discussed in depth. The abstract also demonstrates how machine vision algorithms contribute to enhanced precision, efficiency, and adaptability in automation processes. The purpose of thisis to shed light on the role that machine vision plays in revolutionising industrial automation, collaborative robotics, and autonomous systems by conducting an examination of real-world implementations and case studies. This all-encompassing investigation not only highlights the current status of machine vision applications but also forecasts the future trajectory of this technology, thereby establishing it as a foundational component for the development of robotics and automation in a variety of fields. © 2024 IEEE.

关键词： Navigation systems

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Investigation on corrosion and tensile Characteristics: Friction stir welding of AA7075 and AA2014

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Materials Today: Proceedings 2022年 66卷 743-748页

作者： Haribalaji, V. Venkatesan, G. Asif.M, Mohammed Pandian, Mani Subbiah, Ram Boopathi, S. Department of Mechanical Engineering Narasu's Sarathy Institute of Technology Tamil Nadu Salem 636455 India Department of Mechanical Engineering Haramaya Institute of Technology Haramaya University Ethiopia Department of Mechanical Engineering Vignan's Lara Institute of Technology and science Guntur- Andrapradesh 522213 India Department of Mechanical Engineering Erode Sengunthar Engineering College Tamil Nadu Perundurai Erode 638 057 India Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Telangana Hyderabad 500090 India Department of Robotics and Automation Muthayammal College of Engineering Tamil Nadu Rasipuram Namakkal 637408 India

In this article, the corrosion and tensile strength characteristics of Friction-stir-Welding(FSW) of AA7075 and AA2014 have been investigated. These Aluminium alloy materials have widely been used in making automotive, aerospace, and nautical industrial components. The nine specimens have been made by tool rotational speed and welding speed using full factorial design. The optimum tool rotational speed and welding speed were predicted using statistical analysis for both maximum tensile strength and minimum corrosion rate. The minimum corrosion rate (805.3 miles/year) was obtained from maximum speed of tool rotation (1400 rpm) and welding speed (60 mm/min);maximum tensile strength (194. 6 MPa) has been attained by moderate tool rotational speed (1200 rpm) and welding speed (45 mm/min). The specimens for the tensile and corrosion tests were prepared with optimum settings. The microstructure of corroded surface had been illustrated using scanning electron microscopy (SEM) images. © 2022

关键词： Microstructure

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UZrCN Formation via Arc Melting - A Novel Synthesis Study

UZrCN Formation via Arc Melting - A Novel Synthesis Study

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2024 Transactions of the American Nuclear Society on Winter Conference and Expo, ANS 2024

作者： Sanches, David Zilllinger, James Hamilton, Sarah Idaho National Laboratory Idaho FallsID United States Nuclear Engineering Program Mechanical Engineering Department Virginia Tech BlacksburgVA United States

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Energy Optimization of an Underwater Swimming Manipulator with Rotary Thrusters and Rolling Joints 41

Energy Optimization of an Underwater Swimming Manipulator wi...

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第41届中国控制会议

作者： Taisheng Ma Lili Wu Ziming Lin Chao Ren Shugen Ma School of Electrical and Information Engineering Tianjin University Beijing Electro-Mechanical Engineering Institute Department of Robotics Ritsumeikan University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The underwater swimming manipulator(USM) is a novel slender snake robot with several thrusters providing thrust in fixed ***,more thrusters mean much energy *** order to save energy by reducing the number of thrusters,in this paper,the rotary thrusters and rolling joints are applied to the USM,so that a rotary thruster can provide thrust to the USM in all directions through the rotation of itself and the rolling ***,an energy optimization algorithm is designed to enable the thrusters to provide the minimum thrust in the optimal position with different body ***,a cost function is designed to limit the energy consumption,which is solved by sequential quadratic programming algorithm to find the optimal angles for rolling ***,simulations verify the effectiveness of rotary thrusters,rolling joints,and the energy-saving effect of the proposed energy optimization algorithm.

关键词： Underwater swimming manipulator Rotary thrusters Rolling joints Energy optimization

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Cognitive TransFuser: Semantics-Guided Transformer-Based Sensor Fusion for Improved Waypoint Prediction 11th

Cognitive TransFuser: Semantics-Guided Transformer-Based Sen...

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11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023

作者： Choi, Hwan-Soo Jeong, Jongoh Hoo Cho, Young Yoon, Kuk-Jin Kim, Jong-Hwan Robot Intelligence Technology Lab. School of Engineering KAIST Daejeon Korea Republic of dSPECTER Seoul Korea Republic of Visual Intelligence Lab. Robotics Program and Dept. of Mechanical Engineering KAIST Daejeon Korea Republic of

ISBN: (纸本)9783031706868

Sensor fusion approaches for intelligent self-driving agents remain key to driving scene understanding given visual global contexts acquired from input sensors. Specifically, for the local waypoint prediction task, single-modality networks are still limited by strong dependency on the sensitivity of the input sensor, and thus recent works therefore promote the use of multiple sensors in fusion in feature level in practice. While it is well known that multiple data modalities encourage mutual contextual exchange, it requires global 3D scene understanding in real-time with minimal computation upon deployment to practical driving scenarios, thereby placing greater significance on the training strategy given a limited number of practically usable sensors. In this light, we exploit carefully selected auxiliary tasks that are highly correlated with the target task of interest (e.g., traffic light recognition and semantic segmentation) by fusing auxiliary task features and also using auxiliary heads for waypoint prediction based on imitation learning. Our RGB-LIDAR-based multi-task feature fusion network, coined Cognitive TransFuser, augments and exceeds the baseline network by a significant margin for safer and more complete road navigation in the CARLA simulator. We validate the proposed network on the Town05 Short and Town05 Long Benchmark through extensive experiments, achieving up to 44.2 FPS real-time inference time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Semantic Segmentation

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Vision-Based Categorical Object Pose Estimation and Manipulation 16th

Vision-Based Categorical Object Pose Estimation and Manipul...

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16th International Conference on Intelligent robotics and Applications, ICIRA 2023

作者： Meng, Qiwei Liao, Jianfeng Jun, Shao Xu, Nuo Xu, Zeming Sun, Yinan Sun, Yao Zhu, Shiqiang Gu, Jason Song, Wei Center for Intelligent Robotics Zhejiang Lab Hangzhou China Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou China School of Mechanical Engineering Zhejiang University Hangzhou China Department of Electrical and Computer Engineering Dalhousie University Halifax Canada

ISBN: (纸本)9789819964826

Object manipulation and environment interaction are of great significance for intelligent robots, especially service robots working under unstructured household and office scenarios. This paper proposes a novel approach for categorical unseen object grasping and manipulation. Different from recently popular end-to-end reinforcement learning methods, we develop models for geometric primitive abstraction of target objects, and accordingly estimate their pose as well as generate task-orientated grasp points. Such design emphasizes visual perception in guiding robotic manipulation, thereby enhancing model interpretability and reliability during implementation. In addition, we also conduct object grasping experiments both under simulation and real-world settings, which further verify the effectiveness and superiority of our method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Intelligent robots

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Data-Driven Control of Highly Deformable Robotic Endoscopes Using Proprioceptive Shape Feedback

Data-Driven Control of Highly Deformable Robotic Endoscopes ...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Lu, Yiang Zheng, Jixuan Liu, Yun-Hui T Stone Robotics Institute The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Hong Kong Hong Kong Hong Kong Center for Logistics Robotics Hong Kong Hong Kong

ISBN: (纸本)9781665481090

In this paper, we introduce a versatile data-driven approach for servo-controlling the highly deformable robotic endoscope equipped with Draw Tower Gratings (DTGs). The advancement of perception and decision-making technologies is pivotal for enabling flexible robots to execute automatic procedures. However, modeling these robots presents a significant challenge due to their large deformations and susceptibility to environmental disturbances. To address this issue, we propose a robust adaptive control framework that leverages DTG-based proprioceptive shape feedback. This automatic paradigm can online estimate the unknown deformation model of the flexible robot based on function approximation (FA), while also accounting for unknown perturbations without prior identification. By employing the proposed FA-based adaptive algorithm, we can ensure the convergence of the shape control error. Experimental results validating a highly deformable flexible robot embedded with DTG sensors showcase the efficiency of the proposed control strategy in unknown scenarios. © 2024 IEEE.

关键词： Adaptive algorithms

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An Intelligent Garbage Sorting Robot System Based on Machine Vision and Knowledge Base 42

An Intelligent Garbage Sorting Robot System Based on Machine...

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42nd Chinese Control Conference, CCC 2023

作者： Zhang, Maorong Xu, Qingchuan Luo, Aijia Kong, Yuqi Chi, Wenzheng Sun, Lining School of Mechanical and Electric Engineering Soochow University Department of Intelligent Manufacturing Suzhou215021 China Robotics and Microsystems Center School of Mechanical and Electric Engineering Soochow University Suzhou215021 China

ISBN: (纸本)9789887581543

Garbage disposal has always been a widely concerned environmental problem. At present, garbage sorting mainly depends on manual work, with low efficiency, poor accuracy and easy to harm the staff. One way to solve the problem is to develop robots with garbage sorting function instead of manual operation. This paper presents a design scheme of intelligent garbage sorting robot system based on machine vision and knowledge base. The coarse localization of garbage is firstly detected by the YOLO-v5 algorithm with the RGB camera and the bounding box of the garbage can be obtained in the image coordinate system. Then, the depth information of the garbage is retrieved by the depth camera, and the garbage coordinates are obtained. After the coordinate conversion, the position of the garbage is set as the robot navigation target and the trajectory planning is carried out. When the robot reaches the target position, the YOLO algorithm is then utilized to refine the classification and the position of the garbage and the robot arm equipped on the robot is utilized to pick up the garbage. After the garbage recognition, the garbage type and the corresponding garbage bin location information can be retrieved according to the knowledge base. At the same time, it stores the garbage information of the current position in the knowledge base to facilitate the subsequent optimization of the cruise track. Finally, the robot navigates to the corresponding bin location, puts down the garbage, and completes the garbage sorting task. Experimental results show that this method can accurately identify garbage and effectively improve the efficiency of garbage sorting. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Cameras

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