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Prof. Dr. Maki Habib
The American University in Cairo

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Research Keywords & Expertise

0 intelligent control
0 smart sensors
0 Autonomous-Robotics
0 Mechatronics and Intelligence
0 Learning and thinking Skills

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Short Biography

Prof. Habib is specialized in the area of Robotics and Mechatronics. He is editor-in-chief of two international journals, regional editor of (2) international journals, associate editor of (6) international journals, and Editorial board member of (13) International journals. He is the chair, program co-chair, member of advisory and scientific program committees of more than 40 annual and biannual international conferences. He was the Chief Editor of (13) special issues at international journals. Organizing more than (50) workshops and special sessions at international conferences. Organized and conducted three international workshops dedicated to the industry in the field of Robotics and Automation. He has annual field trips to Japan, Korea and Malaysia visiting research centers and Universities to discuss the latest research and enhancing the ongoing research collaborations while initiating new research opportunities. In addition, he had more than (60) invited talks at International Conferences, Universities and Industry. He was and continues to be consultant and technical advisor to more than 10 companies internationally, such as Toyota and ABB. Working as a research advisor with a large European research consortium focusing on new development for using Robotics and Sensors for humanitarian demining. He published 17 books, published more than 29 book chapters, more than 74 journal papers and also more than 226 conference papers at international level.

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Book chapter
Published: 09 June 2021 in Biomimetics
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As the agriculture industry is growing fast, many efforts are introduced to ensure a high quality of produce. Diseases and defects found in plants and crops affect greatly the agriculture industry. Hence, many techniques and technologies have been developed to help solve or reduce the impact of plant diseases. Imagining analysis tools and gas sensors are becoming more frequently integrated into smart systems for plant disease detection. Many disease detection systems incorporate imaging analysis tools and VOC (Volatile Organic Compound) profiling techniques to detect early symptoms of diseases and defects of plants, fruits, and vegetative produce. These disease detection techniques can be further categorized into two main groups: preharvest disease detection and postharvest disease detection techniques. This paper aims to introduce the available disease detection techniques and to compare them with the latest innovative smart systems that feature visible imaging, hyperspectral imaging, and VOC profiling. In addition, this paper considers the efforts to automate imaging techniques to help accelerate the disease detection process. Different approaches are analyzed and compared in terms of work environment, automation, implementation, and accuracy of disease identification along with the future evolution perspective in this field.

ACS Style

Maki K. Habib; Hashem Rizk. Pre-Harvest and Post-Harvest Techniques for Plant Disease Detections. Biomimetics 2021, 1 .

AMA Style

Maki K. Habib, Hashem Rizk. Pre-Harvest and Post-Harvest Techniques for Plant Disease Detections. Biomimetics. 2021; ():1.

Chicago/Turabian Style

Maki K. Habib; Hashem Rizk. 2021. "Pre-Harvest and Post-Harvest Techniques for Plant Disease Detections." Biomimetics , no. : 1.

Original article
Published: 05 June 2021 in Artificial Life and Robotics
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Although the automation of some inspection processes for various kinds of industrial products has progressed, the situation seems to be largely depending on visual inspection ability of inspectors who are familiar with the quality control of each product. Recently, not a few attempts have been tried to apply convolutional neural networks (CNNs) specialized in deep learning technology to image recognition for product defect detection. However, that of wrap film products is not easy due to, e.g., the reflection of light. In this paper, the authors introduce a CNN design tool to detect defects that appear in the manufacturing process of wrap film products. First, a template matching method is applied to the entire images of the wrap film products to extract only the target film part. Then, a compact CNN model is designed using the tool and trained using a large number of augmented images of good products and defective ones. Finally, the generalization ability of the CNN model is evaluated through classification experiments of test images, so that the desired accuracy over 0.95 could be achieved.

ACS Style

Kento Nakashima; Fusaomi Nagata; Akimasa Otsuka; Keigo Watanabe; Maki K. Habib. Defect detection in wrap film product using compact convolutional neural network. Artificial Life and Robotics 2021, 1 -7.

AMA Style

Kento Nakashima, Fusaomi Nagata, Akimasa Otsuka, Keigo Watanabe, Maki K. Habib. Defect detection in wrap film product using compact convolutional neural network. Artificial Life and Robotics. 2021; ():1-7.

Chicago/Turabian Style

Kento Nakashima; Fusaomi Nagata; Akimasa Otsuka; Keigo Watanabe; Maki K. Habib. 2021. "Defect detection in wrap film product using compact convolutional neural network." Artificial Life and Robotics , no. : 1-7.

Journal article
Published: 26 January 2021 in Education Sciences
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The development of experiential learning methodologies is gaining attention, due to its contributions to enhancing education quality. It focuses on developing competencies, and build-up added values, such as creative and critical thinking skills, with the aim of improving the quality of learning. The interdisciplinary mechatronics field accommodates a coherent interactive concurrent design process that facilitates innovation and develops the desired skills by adopting experiential learning approaches. This educational learning process is motivated by implementation, assessment, and reflections. This requires synergizing cognition, perception, and behavior with experience sharing and evaluation. Furthermore, it is supported by knowledge accumulation. The learning process with active student’s engagement (participation and investigation) is integrated with experimental systems that are developed to facilitate experiential learning supported by properly designed lectures, laboratory experiments, and integrated with course projects. This paper aims to enhance education, learning quality, and contribute to the learning process, while stimulating creative and critical thinking skills. The paper has adopted a student-centered learning approach and focuses on developing training tools to improve the hands-on experience and integrate it with project-based learning. The developed experimental systems have their learning indicators where students acquire knowledge and learn the target skills through involvement in the process. This is inspired by collaborative knowledge sharing, brainstorming, and interactive discussions. The learning outcomes from lectures and laboratory experiments are synergized with the project-based learning approach to yield the desired promising results and exhibit the value of learning. The effectiveness of the developed experimental systems along with the adopted project-based learning approach is demonstrated and evaluated during laboratory sessions supporting different courses at Sanyo-Onoda City University, Yamaguchi, Japan, and at the American University in Cairo.

ACS Style

Maki K. Habib; Fusaomi Nagata; Keigo Watanabe. Mechatronics: Experiential Learning and the Stimulation of Thinking Skills. Education Sciences 2021, 11, 46 .

AMA Style

Maki K. Habib, Fusaomi Nagata, Keigo Watanabe. Mechatronics: Experiential Learning and the Stimulation of Thinking Skills. Education Sciences. 2021; 11 (2):46.

Chicago/Turabian Style

Maki K. Habib; Fusaomi Nagata; Keigo Watanabe. 2021. "Mechatronics: Experiential Learning and the Stimulation of Thinking Skills." Education Sciences 11, no. 2: 46.

Chapter
Published: 01 January 2020 in Practical Perspectives on Educational Theory and Game Development
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Robotics e-learning environment that facilitates tailored learning for individual students studying robotics is developed. The developed collaborative and distributed intelligent environment (CoDIE) enables multi-users to access simultaneously remote and integrated mixed reality facilities through the web. The developed system constitutes a robotic center to help in transferring theoretical knowledge enhanced by simulation and practical experience. It enables realistic interaction by immersing users in a shared 3D CoDIE. The system enables users to do programming, simulations, experiments, manipulating data and objects, diagnostics and analyses, control and monitor actions. Also, users can receive feedback from the system or instructors. The developed system has been implemented and tested using two real manipulators and virtual robots supporting real-time tracking and simulation. Three modes of operations have been implemented, individual robot training mode through virtual robot models, multi-user mode working together, and individual or group-based training by instructor.

ACS Style

Maki K. Habib. Robotics E-Learning Supported by Collaborative and Distributed Intelligent Environments. Practical Perspectives on Educational Theory and Game Development 2020, 97 -113.

AMA Style

Maki K. Habib. Robotics E-Learning Supported by Collaborative and Distributed Intelligent Environments. Practical Perspectives on Educational Theory and Game Development. 2020; ():97-113.

Chicago/Turabian Style

Maki K. Habib. 2020. "Robotics E-Learning Supported by Collaborative and Distributed Intelligent Environments." Practical Perspectives on Educational Theory and Game Development , no. : 97-113.

Journal article
Published: 22 November 2019 in The Knowledge Engineering Review
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The current fourth industrial revolution, or ‘Industry 4.0’ (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.

ACS Style

Veera Ragavan Sampath Kumar; Alaa Khamis; Sandro Fiorini; Joel Luís Carbonera; Alberto Olivares Alarcos; Maki Habib; Paulo Goncalves; Howard Li; Joanna Isabelle Olszewska. Ontologies for Industry 4.0. The Knowledge Engineering Review 2019, 34, 1 .

AMA Style

Veera Ragavan Sampath Kumar, Alaa Khamis, Sandro Fiorini, Joel Luís Carbonera, Alberto Olivares Alarcos, Maki Habib, Paulo Goncalves, Howard Li, Joanna Isabelle Olszewska. Ontologies for Industry 4.0. The Knowledge Engineering Review. 2019; 34 ():1.

Chicago/Turabian Style

Veera Ragavan Sampath Kumar; Alaa Khamis; Sandro Fiorini; Joel Luís Carbonera; Alberto Olivares Alarcos; Maki Habib; Paulo Goncalves; Howard Li; Joanna Isabelle Olszewska. 2019. "Ontologies for Industry 4.0." The Knowledge Engineering Review 34, no. : 1.

Chapter
Published: 01 January 2019 in Unmanned Aerial Vehicles
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This chapter presents the detailed dynamic model of a Vertical Take-Off and Landing (VTOL) type Unmanned Aerial Vehicle (UAV) known as the quadrotor. The mathematical model is derived based on Newton Euler formalism. This is followed by the development of a simulation environment on which the developed model is verified. Four control algorithms are developed to control the quadrotor's degrees of freedom: a linear PID controller, Gain Scheduling-based PID controller, nonlinear Sliding Mode, and Backstepping controllers. The performances of these controllers are compared through the developed simulation environment in terms of their dynamic performance, stability, and the effect of possible disturbances.

ACS Style

Heba Elkholy; Maki K. Habib. Dynamic Modeling and Control Techniques for a Quadrotor. Unmanned Aerial Vehicles 2019, 20 -66.

AMA Style

Heba Elkholy, Maki K. Habib. Dynamic Modeling and Control Techniques for a Quadrotor. Unmanned Aerial Vehicles. 2019; ():20-66.

Chicago/Turabian Style

Heba Elkholy; Maki K. Habib. 2019. "Dynamic Modeling and Control Techniques for a Quadrotor." Unmanned Aerial Vehicles , no. : 20-66.

Chapter
Published: 01 January 2018 in Genetic Algorithms and Applications for Stock Trading Optimization
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In making neural networks learn nonlinear relations effectively, it is desired to have appropriate training sets. In the proposed method, after a certain number of iterations, input-output pairs having worse errors are extracted from the original training set and form a new temporary set. From the following iteration, the temporary set is applied to the neural networks instead of the original set. In this case, only pairs with worse errors are used for updating the weights until the mean value of errors decreases to a desired level. Once the learning is conducted using the temporary set, the original set is applied again instead of the temporary set. The effectiveness of the proposed approach is demonstrated through simulations using kinematic models of a leg module with a serial link structure and an industrial robot.

ACS Style

Fusaomi Nataga; Maki Habib; Keigo Watanabe. Neural Networks to Solve Nonlinear Inverse Kinematic Problems. Genetic Algorithms and Applications for Stock Trading Optimization 2018, 205 -227.

AMA Style

Fusaomi Nataga, Maki Habib, Keigo Watanabe. Neural Networks to Solve Nonlinear Inverse Kinematic Problems. Genetic Algorithms and Applications for Stock Trading Optimization. 2018; ():205-227.

Chicago/Turabian Style

Fusaomi Nataga; Maki Habib; Keigo Watanabe. 2018. "Neural Networks to Solve Nonlinear Inverse Kinematic Problems." Genetic Algorithms and Applications for Stock Trading Optimization , no. : 205-227.

Chapter
Published: 01 January 2018 in Genetic Algorithms and Applications for Stock Trading Optimization
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Biologically inspired systems, known as “biomimetics” or the “mimicry of nature,” is an interdisciplinary scientific research field inspired by nature and featured by the technology outcome (hardware and software) and lies at the interface of biology, physics, chemistry, information, and engineering sciences. Biomimetics is initiated by making nature a model of inspiration that would immensely help conscious abstraction of new innovative principles and creative design ideas and concepts that help developing new techniques and functionalities, seeking new paradigms and methods, designing new materials, and developing new streams of intelligent machines, robots, systems, devices, algorithms, etc. Biologically inspired approaches create a new reality with great development and application potential with the goal of identifying specific desirable qualities and attributes in biological systems and using them in the design of new products and systems. This chapter provides the importance of biomimetic as an interdisciplinary field and its evolution, advances, challenges, and constraints along with the associated enabling technologies supporting its growth. In addition, it introduces scientific ideas and directions of research activities in the field. The chapter also presents key developments in the field of biomimetic robots and underlines the challenges facing it.

ACS Style

Maki Habib; Fusaomi Nagata. Biomimetics and the Evolution of Robotics and Intelligent Systems. Genetic Algorithms and Applications for Stock Trading Optimization 2018, 1 -25.

AMA Style

Maki Habib, Fusaomi Nagata. Biomimetics and the Evolution of Robotics and Intelligent Systems. Genetic Algorithms and Applications for Stock Trading Optimization. 2018; ():1-25.

Chicago/Turabian Style

Maki Habib; Fusaomi Nagata. 2018. "Biomimetics and the Evolution of Robotics and Intelligent Systems." Genetic Algorithms and Applications for Stock Trading Optimization , no. : 1-25.

Conference paper
Published: 12 June 2017 in IOP Conference Series: Earth and Environmental Science
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The authors have developed earlier an industrial machining robotic system for foamed polystyrene materials. The developed robotic CAM system provided a simple and effective interface without the need to use any robot language between operators and the machining robot. In this paper, a preprocessor for generating Cutter Location Source data (CLS data) from Stereolithography (STL data) is first proposed for robotic machining. The preprocessor enables to control the machining robot directly using STL data without using any commercially provided CAM system. The STL deals with a triangular representation for a curved surface geometry. The preprocessor allows machining robots to be controlled through a zigzag or spiral path directly calculated from STL data. Then, a smart spline interpolation method is proposed and implemented for smoothing coarse CLS data. The effectiveness and potential of the developed approaches are demonstrated through experiments on actual machining and interpolation.

ACS Style

Fusaomi Nagata; Yudai Okada; Tatsuhiko Sakamoto; Takamasa Kusano; Maki K. Habib; Keigo Watanabe. Preprocessor with spline interpolation for converting stereolithography into cutter location source data. IOP Conference Series: Earth and Environmental Science 2017, 69, 012115 .

AMA Style

Fusaomi Nagata, Yudai Okada, Tatsuhiko Sakamoto, Takamasa Kusano, Maki K. Habib, Keigo Watanabe. Preprocessor with spline interpolation for converting stereolithography into cutter location source data. IOP Conference Series: Earth and Environmental Science. 2017; 69 (1):012115.

Chicago/Turabian Style

Fusaomi Nagata; Yudai Okada; Tatsuhiko Sakamoto; Takamasa Kusano; Maki K. Habib; Keigo Watanabe. 2017. "Preprocessor with spline interpolation for converting stereolithography into cutter location source data." IOP Conference Series: Earth and Environmental Science 69, no. 1: 012115.

Chapter
Published: 01 January 2015 in Genetic Algorithms and Applications for Stock Trading Optimization
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This chapter first describes the robotic CAM system proposed from the viewpoint of robotic servo controller for an industrial robot RV1A. Then, a reverse post-processor is proposed for the robotic CAM system to online generate the original CL data from the NC data post-processed for a five-axis NC machine tool with a tilting head. Next, an application of the industrial robot with incorporated the robotic CAM system is introduced. The application is developed to efficiently machine foamed polystyrene patterns which are typically used for master pattern of sand mold or for lost-foam pattern for full mold casting (i.e., lost-foam casting). If the target material is limited to such foamed polystyrenes, it is expected that the developed machining robot is superior to conventional NC machine tools in terms of introduction cost, running cost, compactness, and easiness of use. Finally, promising machining results of foamed polystyrene materials are shown.

ACS Style

Fusaomi Nagata; Akimasa Otsuka; Keigo Watanabe; Maki Habib; Takamasa Kusano. Industrial Machining Robot with Incorporated Robotic CAM System. Genetic Algorithms and Applications for Stock Trading Optimization 2015, 793 -817.

AMA Style

Fusaomi Nagata, Akimasa Otsuka, Keigo Watanabe, Maki Habib, Takamasa Kusano. Industrial Machining Robot with Incorporated Robotic CAM System. Genetic Algorithms and Applications for Stock Trading Optimization. 2015; ():793-817.

Chicago/Turabian Style

Fusaomi Nagata; Akimasa Otsuka; Keigo Watanabe; Maki Habib; Takamasa Kusano. 2015. "Industrial Machining Robot with Incorporated Robotic CAM System." Genetic Algorithms and Applications for Stock Trading Optimization , no. : 793-817.

Chapter
Published: 01 January 2015 in Genetic Algorithms and Applications for Stock Trading Optimization
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This chapter presents the detailed dynamic model of a Vertical Take-Off and Landing (VTOL) type Unmanned Aerial Vehicle (UAV) known as the quadrotor. The mathematical model is derived based on Newton Euler formalism. This is followed by the development of a simulation environment on which the developed model is verified. Four control algorithms are developed to control the quadrotor's degrees of freedom: a linear PID controller, Gain Scheduling-based PID controller, nonlinear Sliding Mode, and Backstepping controllers. The performances of these controllers are compared through the developed simulation environment in terms of their dynamic performance, stability, and the effect of possible disturbances.

ACS Style

Heba Elkholy; Maki Habib. Dynamic Modeling and Control Techniques for a Quadrotor. Genetic Algorithms and Applications for Stock Trading Optimization 2015, 408 -454.

AMA Style

Heba Elkholy, Maki Habib. Dynamic Modeling and Control Techniques for a Quadrotor. Genetic Algorithms and Applications for Stock Trading Optimization. 2015; ():408-454.

Chicago/Turabian Style

Heba Elkholy; Maki Habib. 2015. "Dynamic Modeling and Control Techniques for a Quadrotor." Genetic Algorithms and Applications for Stock Trading Optimization , no. : 408-454.

Journal article
Published: 06 June 2013 in Robotics and Autonomous Systems
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Service robotics is an emerging application area for human-centered technologies. The rise of household and personal assistance robots forecasts a human–robot collaborative society. One of the robotics community’s major task is to streamline development trends, work on the harmonization of taxonomies and ontologies, along with the standardization of terms, interfaces and technologies. It is important to keep the scientific progress and public understanding synchronous, through efficient outreach and education. These efforts support the collaboration among research groups, and lead to widely accepted standards, beneficial for both manufacturers and users. This article describes the necessity of developing robotics ontologies and standards focusing on the past and current research efforts. In addition, the paper proposes a roadmap for service robotics ontology development. The IEEE Robotics & Automation Society is sponsoring the working group Ontologies for Robotics and Automation. The efforts of the Working group are presented here, aiming to connect the cutting edge technology with the users of these services—the general public.

ACS Style

Tamás Haidegger; Marcos Barreto; Paulo Gonçalves; Maki K. Habib; Sampath Kumar Veera Ragavan; Howard Li; Alberto Vaccarella; Roberta Perrone; Edson Prestes. Applied ontologies and standards for service robots. Robotics and Autonomous Systems 2013, 61, 1215 -1223.

AMA Style

Tamás Haidegger, Marcos Barreto, Paulo Gonçalves, Maki K. Habib, Sampath Kumar Veera Ragavan, Howard Li, Alberto Vaccarella, Roberta Perrone, Edson Prestes. Applied ontologies and standards for service robots. Robotics and Autonomous Systems. 2013; 61 (11):1215-1223.

Chicago/Turabian Style

Tamás Haidegger; Marcos Barreto; Paulo Gonçalves; Maki K. Habib; Sampath Kumar Veera Ragavan; Howard Li; Alberto Vaccarella; Roberta Perrone; Edson Prestes. 2013. "Applied ontologies and standards for service robots." Robotics and Autonomous Systems 61, no. 11: 1215-1223.

Book chapter
Published: 01 January 2013 in Advances in Intelligent Systems and Computing
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Recently, many studies on educational system are conducted. In this paper, a unique educational experiment system is proposed for undergraduate students to be able to efficiently learn basic mechatronics techniques. The system is composed of three subsystems. The first subsystem is used to learn input/output port operations, periodically LED lights ON/OFF and a stepping motor control. The second subsystem is effective to learn AD transformation for several sensor information, DA transformation for DC motor control and a PID control method. Further, the third subsystem is designed by using a robot arm with four-DOFs to learn PWM (Pulse Width Modulation) control of a DC motor and force control of an end-effector. The effectiveness of the proposed system was confirmed through experimental instructions in Tokyo University of Science, Yamaguchi.

ACS Style

Fusaomi Nagata; Akimasa Otsuka; Sakakibara Kaoru; Keigo Watanabe; Maki K. Habib. Innovative Experimental System Supporting Mechatronics Education. Advances in Intelligent Systems and Computing 2013, 753 -761.

AMA Style

Fusaomi Nagata, Akimasa Otsuka, Sakakibara Kaoru, Keigo Watanabe, Maki K. Habib. Innovative Experimental System Supporting Mechatronics Education. Advances in Intelligent Systems and Computing. 2013; ():753-761.

Chicago/Turabian Style

Fusaomi Nagata; Akimasa Otsuka; Sakakibara Kaoru; Keigo Watanabe; Maki K. Habib. 2013. "Innovative Experimental System Supporting Mechatronics Education." Advances in Intelligent Systems and Computing , no. : 753-761.

Chapter
Published: 01 January 2013 in Electric Vehicles and the Future of Energy Efficient Transportation
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This chapter describes the development of a robotic CAM system for an articulated industrial robot from the viewpoint of robotic servo controller. It is defined here that the CAM system includes an important function that allows an industrial robot to move along not only numerical control data (NC data) but also cutter location data (CL data) consisting of position and orientation components. A reverse post-processor is proposed for the robotic CAM system to online generate CL data from the NC data generated for a five-axis NC machine tool with a tilting head, and the transformation accuracy about orientation components in CL data is briefly evaluated. The developed CAM system has a high applicability to other industrial robots with an open architecture controller whose servo system is technically opened to end-users, and also works as a straightforward interface between a general CAD/CAM system and an industrial robot. The basic design of the robotic CAM system and the experimental result are presented, in which an industrial robot can move based on not only CL data but also NC data without any teaching.

ACS Style

Fusaomi Nagata; Sho Yoshitake; Keigo Watanabe; Maki Habib. Robotic CAM System Available for Both CL Data and NC Data. Electric Vehicles and the Future of Energy Efficient Transportation 2013, 265 -276.

AMA Style

Fusaomi Nagata, Sho Yoshitake, Keigo Watanabe, Maki Habib. Robotic CAM System Available for Both CL Data and NC Data. Electric Vehicles and the Future of Energy Efficient Transportation. 2013; ():265-276.

Chicago/Turabian Style

Fusaomi Nagata; Sho Yoshitake; Keigo Watanabe; Maki Habib. 2013. "Robotic CAM System Available for Both CL Data and NC Data." Electric Vehicles and the Future of Energy Efficient Transportation , no. : 265-276.

Journal article
Published: 03 November 2012 in Artificial Life and Robotics
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Recently, many studies on educational system are being conducted. In this manuscript, a unique education system is proposed for mechanical engineers to be able to efficiently learn basic mechatronics techniques. The system is composed of three subsystems. The first subsystem is used to learn input/output port operations, periodically LED lights ON/OFF and a stepping motor control. The second subsystem is effective to learn AD transformation for several sensor information, DA transformation for DC motor control and a PID control method. Further, the third subsystem is multiple mobile robots system to learn the subsumption architecture for schooling behavior. The effectiveness of the proposed systems was confirmed through experimental instructions in Tokyo University of Science, Yamaguchi.

ACS Style

Fusaomi Nagata; Naoki Kitahara; Akimasa Otsuka; Kaoru Sakakibara; Keigo Watanabe; Maki K. Habib. A proposal of experimental education system of mechatronics. Artificial Life and Robotics 2012, 17, 378 -382.

AMA Style

Fusaomi Nagata, Naoki Kitahara, Akimasa Otsuka, Kaoru Sakakibara, Keigo Watanabe, Maki K. Habib. A proposal of experimental education system of mechatronics. Artificial Life and Robotics. 2012; 17 (3):378-382.

Chicago/Turabian Style

Fusaomi Nagata; Naoki Kitahara; Akimasa Otsuka; Kaoru Sakakibara; Keigo Watanabe; Maki K. Habib. 2012. "A proposal of experimental education system of mechatronics." Artificial Life and Robotics 17, no. 3: 378-382.

Chapter
Published: 01 January 2012 in Electric Vehicles and the Future of Energy Efficient Transportation
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Multiple mobile robots with six PSD (Position Sensitive Detector) sensors are designed for experimentally evaluating the performance of two control systems. They are self-control mode and server-supervisory control mode. The control systems are considered to realize swarm behaviors such as Ligia exotica. This is done by using only information of PSD sensors. Experimental results show basic but important behaviors for multiple mobile robots. They are following, avoidance, and schooling behaviors. The collective behaviors such as following, avoidance, and schooling emerge from the local interactions among the robots and/or between the robots and the environment. The objective of the study is to design an actual system for multiple mobile robots, to systematically simulate the behaviors of various creatures who form groups such as a school of fish or a swarm of insect. Further, the applicability of the server-supervisory control scheme to an intelligent DNC (Direct Numerical Control) system is briefly considered for future development. DNC system is an important peripheral apparatus, which can directly control NC machine tools. However, conventional DNC systems can neither deal with various information transmitted from different kinds of sensors through wireless communication nor output suitable G-codes by analyzing the sensors information in real time. The intelligent DNC system proposed at the end of the chapter aims to realize such a novel and flexible function with low cost.

ACS Style

F. Nagata; T. Yamashiro; N. Kitahara; A. Otsuka; K. Watanabe; Maki Habib. Self Control and Server-Supervisory Control for Multiple Mobile Robots, and its Applicability to Intelligent DNC System. Electric Vehicles and the Future of Energy Efficient Transportation 2012, 67 -84.

AMA Style

F. Nagata, T. Yamashiro, N. Kitahara, A. Otsuka, K. Watanabe, Maki Habib. Self Control and Server-Supervisory Control for Multiple Mobile Robots, and its Applicability to Intelligent DNC System. Electric Vehicles and the Future of Energy Efficient Transportation. 2012; ():67-84.

Chicago/Turabian Style

F. Nagata; T. Yamashiro; N. Kitahara; A. Otsuka; K. Watanabe; Maki Habib. 2012. "Self Control and Server-Supervisory Control for Multiple Mobile Robots, and its Applicability to Intelligent DNC System." Electric Vehicles and the Future of Energy Efficient Transportation , no. : 67-84.

Contributors
Published: 01 January 2011 in Using Robots in Hazardous Environments
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ACS Style

Y. Baudoin; M.K. Habib; I. Doroftei; C. Parra; C. Otálora; A. Forero; M. Devy; P. Santana; L. Correia; J. Barata; E.E. Cepolina; M. Zoppi; V.G. Gradetsky; L. Nomdedeu; J. Sales; R. Marin; E. Cervera; J. Saez; S. Larionova; A.T. De Almeida; L. Marques; P. Druyts; Y. Yvinec; M. Acheroy; G. El-Qady; A. Mohamed; M. Metwaly; M. Atya; I.Y.H. Gu; T. Tjahjadi; S.A. Berrabah; T. Fukuda; Y. Hasegawa; K. Kosuge; K. Komoriya; F. Kitagawa; T. Ikegami; Š. Havlik; C. Armbrust; T. Braun; T. Fohst; M. Proetzsch; A. Renner; B.H. Schafer; K. Berns; G. Kowalski; J. Bedkowski; A. Maslowski; A. Pajaziti; I. Gojani; Sh. Buza; A. Shala; G. Capi; A. Abbas; G. De Cubber; V.B. Veshnikov; V.G. Chashchukin; O. Cayirpunar; V. Gazi; B. Tavli; U. Witkowski; J. Penders; S. Herbrechtsmeier; M. El-Habbal; M. Defoort; T. Floquet; A. Kokosy; W. Perruquetti; J. Palos; Y. Atas; S. Burak Akat; L. Alboul; U. Delprato; M. Cristaldi; G. Tusa; P. Kowalski; D. Doroftei. Contributor contact details. Using Robots in Hazardous Environments 2011, 1 .

AMA Style

Y. Baudoin, M.K. Habib, I. Doroftei, C. Parra, C. Otálora, A. Forero, M. Devy, P. Santana, L. Correia, J. Barata, E.E. Cepolina, M. Zoppi, V.G. Gradetsky, L. Nomdedeu, J. Sales, R. Marin, E. Cervera, J. Saez, S. Larionova, A.T. De Almeida, L. Marques, P. Druyts, Y. Yvinec, M. Acheroy, G. El-Qady, A. Mohamed, M. Metwaly, M. Atya, I.Y.H. Gu, T. Tjahjadi, S.A. Berrabah, T. Fukuda, Y. Hasegawa, K. Kosuge, K. Komoriya, F. Kitagawa, T. Ikegami, Š. Havlik, C. Armbrust, T. Braun, T. Fohst, M. Proetzsch, A. Renner, B.H. Schafer, K. Berns, G. Kowalski, J. Bedkowski, A. Maslowski, A. Pajaziti, I. Gojani, Sh. Buza, A. Shala, G. Capi, A. Abbas, G. De Cubber, V.B. Veshnikov, V.G. Chashchukin, O. Cayirpunar, V. Gazi, B. Tavli, U. Witkowski, J. Penders, S. Herbrechtsmeier, M. El-Habbal, M. Defoort, T. Floquet, A. Kokosy, W. Perruquetti, J. Palos, Y. Atas, S. Burak Akat, L. Alboul, U. Delprato, M. Cristaldi, G. Tusa, P. Kowalski, D. Doroftei. Contributor contact details. Using Robots in Hazardous Environments. 2011; ():1.

Chicago/Turabian Style

Y. Baudoin; M.K. Habib; I. Doroftei; C. Parra; C. Otálora; A. Forero; M. Devy; P. Santana; L. Correia; J. Barata; E.E. Cepolina; M. Zoppi; V.G. Gradetsky; L. Nomdedeu; J. Sales; R. Marin; E. Cervera; J. Saez; S. Larionova; A.T. De Almeida; L. Marques; P. Druyts; Y. Yvinec; M. Acheroy; G. El-Qady; A. Mohamed; M. Metwaly; M. Atya; I.Y.H. Gu; T. Tjahjadi; S.A. Berrabah; T. Fukuda; Y. Hasegawa; K. Kosuge; K. Komoriya; F. Kitagawa; T. Ikegami; Š. Havlik; C. Armbrust; T. Braun; T. Fohst; M. Proetzsch; A. Renner; B.H. Schafer; K. Berns; G. Kowalski; J. Bedkowski; A. Maslowski; A. Pajaziti; I. Gojani; Sh. Buza; A. Shala; G. Capi; A. Abbas; G. De Cubber; V.B. Veshnikov; V.G. Chashchukin; O. Cayirpunar; V. Gazi; B. Tavli; U. Witkowski; J. Penders; S. Herbrechtsmeier; M. El-Habbal; M. Defoort; T. Floquet; A. Kokosy; W. Perruquetti; J. Palos; Y. Atas; S. Burak Akat; L. Alboul; U. Delprato; M. Cristaldi; G. Tusa; P. Kowalski; D. Doroftei. 2011. "Contributor contact details." Using Robots in Hazardous Environments , no. : 1.