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Hydrogel-elastomer-based stretchable strain sensor fabricated by a simple projection lithography method

International Journal of Smart and Nano Materials 2021年第3期12卷 256-268页

作者： Zhenqing Li Xiangnan He Jianxiang Cheng Honggeng Li Yuan-Fang Zhang Xiaojuan Shi Kai Yu Hui Ying Yang Qi Ge Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy EngineeringSouthern University of Science and TechnologyShenzhenChina Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Southern University of Science and TechnologyShenzhenChina Digital Manufacturing and Design Centre Singapore University of Technology and DesignSingapore Department of Mechanical Engineering University of Colorado DenverDenverCOUSA National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of TechnologyHarbinP.R.China

Stretchable strain sensor detects a wide range of strain variation and is therefore a key component in various *** traditional ones made of elastomers doped with conductive components or fabricated with liquid conductors,ionically conductive hydrogel-based strain sensors remain conductive under large deformations and are ***,dehydration is a challenging issue for the *** have developed hydrogel-elastomer-based strain sensors where an elastomer matrix encapsulates a hydrogel circuit to prevent its ***,the reported multistep approaches are generally *** group recently reported a multimaterial 3D printing approach that enables fast fabrication of such sensors,yet requires a self-built digital-light-processing-based multimaterial 3D ***,we report a simple projection lithography method to fabricate hydrogel-elastomer-based stretchable strain sensors within 5 *** method only requires a UV projector/lamp with photomasks;the chemicals are commercially available;the protocols for preparing the polymer precursors are friendly to users without chemistry ***,the manufacturing flexibility allows users to readily pattern the sensor circuit and attach the sensor to a 3D printed soft pneumatic actuator to enable strain sensing on the *** proposed approach paves a simple and versatile way to fabricate hydrogel-elastomer-based stretchable strain sensors and flexible electronic devices.

关键词： Ionically conductive hydrogel stretchable strain sensor projection lithography

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Reflectional and rotational symmetry detection of CAD models based on point cloud processing 4

Reflectional and rotational symmetry detection of CAD models...

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4th IEEE Conference on Information and Communication Technology, CICT 2020

作者： Gothandaraman, Rajkumar Jha, Rohitkumar Muthuswamy, Sreekumar Indian Institue of Information Technology Design and Manufacturing Centre for AI IoT and Robotics Department of Mechanical Engineering Kancheepuram Chennai600127 India

ISBN: (纸本)9780738124476

Symmetry is the most common attribute present in many of the real world and engineering 3D models. Organizing, managing, and retrieving the 3D Computer-Aided design (CAD) models for engineering applications is tedious and time-consuming. To simplify the procedure, this work proposes the detection of rotational and reflectional symmetries of CAD models based on point cloud data processing. With the support of view-based shape classification at three orthogonal axes and at regular intervals of rotation, the symmetry of the model is determined. Experiments are performed on the 3D Shape Net benchmark dataset with different labels. Recall, Precision, and F-score are measured for the performance of the methodology applied. Four categories of CAD models are applied for the symmetry detection and a 0.95 F-score is obtained as maximum. As a future scope, the identification and classification of scan models of the reverse-engineered objects will be performed with the application of 3D deep learning of point clouds. © 2020 IEEE.

关键词： Data handling

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design and Development of an IoT Enabled and Robot Integrated Smart Manufacturing Work Cell 6

Design and Development of an IoT Enabled and Robot Integrate...

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6th IEEE Conference on Information and Communication Technology, CICT 2022

作者： Patel, Deep Muthuswamy, Sreekumar Indian Institute of Information Technology Design and Manufacturing Kancheepuram Centre for AI IoT and Robotics Department of Mechanical Engineering Chennai600127 India

ISBN: (纸本)9781665473125

Globalisation and the growing demand for goods are forcing the manufacturing industries to be more efficient, economical, and sustainable. With the rise of Industry 4.0, the manufacturing sector can immensely benefit from smart manufacturing technologies by transforming the conventional system into an IoT enabled system. This paper presents the development of an IoT enabled and robot integrated smart manufacturing work cell as a platform for research, teaching, and innovation toward Industry 4.0. The system is designed and developed with the integration of a CNC lathe, 6 Dof ABB robot manipulator, Cognex Vision System, performance monitoring sensors, IoT gateway, edge devices, human-machine interface and IoT platform (ThinkSpeak). The preliminary testing results indicate the established work cell's ability to supervise the system's performance data over the cloud;control and monitor the system using the web interface. © 2022 IEEE.

关键词： Industrial robots

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Development of a Sign Language for Total Paralysis and Interpretation using Deep Learning 1

Development of a Sign Language for Total Paralysis and Inter...

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1st International Conference on Image Processing and robotics, ICIPRoB 2020

作者： Sarowar Dhrubo, Zahan Zib Islam Hridoy, Md. Ashiful Jamal, Lafifa Sarker, Sujan Shidujaman, Mohammad University of Dhaka Department of Robotics and Mechatronics Engineering Dhaka Bangladesh Tsinghua University Academy of Arts and Design X-Studio Dept. of Information Art and Design Beijing China

ISBN: (纸本)9781728165417

People with total paralysis suffer not just from physical disability but also from the agony of the inability to communicate and express their feelings. Researches have long tried to solve this problem with various techniques such as collecting the patient's message directly from the brain using Brain-Computer interface and determining the gaze of the patient on a screen that contains letters and symbols. The first approach proved to be expensive and less accurate. The second one needs very fine calculation of the pupil center and even if done correctly the drifting of the human eye makes it hard to get a better accuracy. Again, all of these methods are dependent on electronic devices. In this paper, we proposed a solution that does not require the help of any electronic devices by developing a sign language for eye movements. We also proposed an approach to automatically interpret the patient's sign using Convolutional Neural Network and achieved great accuracy on the training data. This suggests that our network can be used to provide a better communication method for paralyzed patients. © 2020 IEEE.

关键词： Convolutional neural networks

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A face recognition system for automated door opening with parallel health status validation using the kinect v2 33

A face recognition system for automated door opening with pa...

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33rd International Symposium on Automation and robotics in Construction, ISARC 2016

作者： Ogawa, A. Mita, A. Georgoulas, C. Bock, T. Department of System Design Engineering Keio University Kanagawa Japan Chr. for Building Realization and Robotics Technical University of Munich Germany

Nowadays it is said that extending the healthy life expectancy is important in the aging society target group. Of course it is important for every singleperson household to be regularly checked upon their safety, but especially for elderly people the importance is higher at the point of healthy living, because this particular target group comprises a higher accidents rate. Therefore, the authors here propose the design and implementation of an unobtrusive vision system for single-person households, particularly for elderly people, based on the Microsoft Kinect v2. The entrance area of the home environment is here considered, where the monitoring system is activated upon while the user approaches, in order to first detect and calculate the user's fatigue levels, as well as to secondly identify the user by facial recognition, in order to actuate a door opening mechanism. The proposed system algorithm is divided into two distinct phases. The first phase concerns the acquisition of the user knee position while walking up a staircase in order to calculate fatigue. The second phase comprises the face recognition based door opening method. The proposed system has been successfully tested, and it could undoubtedly comprise an unobtrusive health status validation and automated door opening solution for elderly people in single-person households.

关键词： Face recognition

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Using augmented reality in metrology for technical drawings and CAD data management 11

Using augmented reality in metrology for technical drawings ...

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11th International Scientific Conference on Coordinate Measuring Technique, CMT 2014

作者： Popescu, Daniela Comes, Radu Neamtu, Cǎlin Popister, Florin Technical University of Cluj-Napoca Design Engineering and Robotics Department 103-105 Blvd. Muncii Cluj-Napoca400641 Romania

ISBN: (纸本)9788363713881

In this paper the authors propose a 2D drawings and 3D CAD models management system based on the use of databases and augmented reality. The system type is a client/server database;the data is stored on a central server and is accessed using smart devices with Wi-Fi connection. Visualization is done using an augmented reality application that allows real time overlay of 2D drawings over real parts or the 3D models can be displayed above the 2D drawings. This paper will present the system architecture, the advantages and disadvantages of augmented reality in the field of metrology and the implementation of the solution on tablets and smartphones. © 2014 11th International Scientific Conference on Coordinate Measuring Technique. All Rights Reserved

关键词： Computer aided design

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Human state estimation system implemented in an Office Deployable Getaway based on multiple bio information 33

Human state estimation system implemented in an Office Deplo...

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33rd International Symposium on Automation and robotics in Construction, ISARC 2016

作者： Nakaso, Sayaka Güttler, Jörg Mita, Akira Bock, Thomas Department of System Design Engineering Keio University Yokohama Japan Chr. for Building Realization and Robotics Technical University Munich Germany

This article is proposing a human state estimation system on the basis of multiple bio information implemented into a movable cover chair called "Office Deployable Getaway". The proposed system consists of 2 sub-systems;the first sub-system analyzes fatigue based on eye movement including blinking rate and eye closure time while the second sub-system analyzes breath frequency. These indicators are detected by applying image processing to IR images, using the Microsoft Kinect sensor. Hardware tests were conducted to determine the proper Microsoft Kinect (Kinect V1 or Kinect V2) and its position inside the chair to efficiently detect eye movement and respiration. The experimental results showed that these bio information could be measured appropriately under the condition that the Kinect V2 was set at the eye level opposite from the user. Based on the result, the implementation of the proposed system into the chair was carried out, installing the Kinect and a personal computer at appropriate positions. Finally, this system was tested in a real environment with test person sitting inside the chair;after the fatigue is analyzed over eye movement, breath frequency is analyzed. The results of these analyzations are indicated in the computer screen. This performance test showed that this system could be feasible for the realistic use. For future development, the authors will focus on audio system that triggers proper music based on estimated human state, which will be implemented into this chair.

关键词： State estimation

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Reinforcement learning based path planning of the mobile agents with constrained locomotion for the material handling applications 4

Reinforcement learning based path planning of the mobile age...

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4th IEEE Conference on Information and Communication Technology, CICT 2020

作者： Veeramani, Satheeshkumar Muthuswamy, Sreekumar Indian Institue of Information Technology Design and Manufacturing Kancheepuram Centre for AI IoT and Robotics Department of Mechanical Engineering Chennai600127 India

ISBN: (纸本)9780738124476

This paper presents the intelligent path planning model of the mobile base agent of SwarmItFIX robot with novel Swing and Dock (SaD) locomotion for material handling/transfer applications. In this work, the Markov Decision Process (MDP) path planning problem of SaD agent is solved using two Reinforcement Learning (RL) based dynamic programming methods viz Policy Iteration (PI), and Value Iteration (VI). Being tested with 16 different test cases, both the algorithms return the optimal sequence of steps with reduced makespan for the mobile agents to reach the goal positions positively. The results of both the methods were compared with each other in the section V, and found to be convincing. Hence the proposed control scheme is being implemented in the SwarmItFIX setup available at the University of Genova, Italy. © 2020 IEEE.

关键词： Dynamic programming

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Flexible wheeurail contact model for railway vehicle dynamics without pre-calculation

Flexible wheeurail contact model for railway vehicle dynamic...

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2007 ASME Rail Transportation Division Fall Conference

作者： Durali, Mohammad Salehi, S. Hassan Jalili, Mohammad Mehdi Center of Excellence for Design Robotics and Automation Mechanical Engineering Department Sharif University of Technology PO Box 11365-9567 Tehran Iran

ISBN: (纸本)9780791848005

An advanced method using progressive concept of geometrical correspondence is applied to create a new wheel/rail contact model based on virtual penetration theory. The geometry and contact mechanism are solved simultaneously because of the independency in a defined correspondence. The model takes the penetrated profiles of wheel and rail and also associated creeps as inputs, and produces driving contact forces as output. The advantage of this model is that it doesn't require pretabulation of rigid contact situation. The method allows calculating flexible, non-elliptical, multiple contact patches during integration of the model. Consequently the rails with substructures can vibrate separately from the vehicle in a flexible wheel/rail contact model. The simulation results indicate that this method can be used in various rail vehicle dynamic problems. Copyright © 2007 by ASME.

关键词： Rails

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Real-Time Performance Monitoring of a CNC Milling Machine using ROS 2 and AWS IoT Towards Industry 4.0 20

Real-Time Performance Monitoring of a CNC Milling Machine us...

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20th International Conference on Smart Technologies, EUROCON 2023

作者： Patel, Deep Maiti, Chayan Muthuswamy, Sreekumar Indian Institute of Information Technology Design and Manufacturing Centre for AI IoT and Robotics Department of Mechanical Engineering Chennai Kancheepuram600127 India

ISBN: (纸本)9781665463973

The current trend of Industry 4.0 is bringing significant changes to manufacturing processes, with the Internet of Things (IoT) and Cyber-Physical Systems (CPS) becoming essential platforms for achieving high-quality products and throughput. This paper proposes a novel system design for the digital transformation of a CNC milling machine towards Industry 4.0, using a sensor network based on Robot Operating System 2 (ROS 2) connected to the Amazon Web Services (AWS) IoT platform. The system uses two sensors, an inductive proximity sensor (KD18-3008PA) for spindle speed monitoring and an infrared thermal sensor (MLX90614-DCC) for monitoring the tool bit temperature. Data from the sensors is collected using the ESP32-WROOM, which transmits the collected data to the Raspberry Pi 4 (RPi 4) running micro-ROS agents. The RPi 4 acts as an IoT gateway, publishing data to AWS IoT core, where it is stored and visualized using Amazon QuickSight. The proposed system enables real-time monitoring of the CNC milling machine's performance, facilitating predictive maintenance and improving efficiency. The results show that the proposed system design effectively achieves digital transformation and can be scalable and flexible, making it suitable for various applications and as a foundation for further research in Industry 4.0. © 2023 IEEE.

关键词： Sensor networks

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