Kinematics

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Kinematics (from Greek κινεῖν, kinein, to move) is the branch of classical mechanics that describes the motion of bodies (objects) and systems (groups of objects) without consideration of the forces that cause the motion. (Wikipedia.org)






Conferences related to Kinematics

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2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

The goal of the 14th ASME/IEEE MESA2018 is to bring together experts from the fields of mechatronic and embedded systems, disseminate the recent advances in the area, discuss future research directions, and exchange application experience. The main achievement of MESA2018 is to bring out and highlight the latest research results and developments in the IoT (Internet of Things) era in the field of mechatronics and embedded systems.


2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control


2017 13th IEEE Conference on Automation Science and Engineering (CASE 2017)

This is the flagship conference of IEEE RAS in Automation


2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC)

IEEE CCNC 2017 will present the latest developments and technical solutions in the areas of home networking, consumer networking, enabling technologies (such as middleware) and novel applications and services. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions


2017 17th International Conference on Control, Automation and Systems (ICCAS)

Control Theory and Applications,Control Devices and Instruments,Industrial Applications of Control,Sensors and Signal Processing,Artificial Intelligent Systems,Autonomous Vehicle Systems, Navigation, Guidance and Control,Biomedical Instruments and Systems,Information and Networking,Multimedia Systems,Process Control Systems,Civil and Urban Control Systems Human Robot Interaction,Robot Mechanism and Control,Robot Vision,Exoskeletal Robot,Intelligent Robot and Service Robot,Robotic Applications


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Periodicals related to Kinematics

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


Instrumentation & Measurement Magazine, IEEE

Applications-oriented material in the field of instrumentation and measurement.


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Most published Xplore authors for Kinematics

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Xplore Articles related to Kinematics

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Research on lane changing and overtaking for Intelligent Vehicle based on vision navigation

You Feng; Wang Rongben; Zhang Ronghui 2008 IEEE International Conference on Industrial Technology, 2008

Median altering, Sobel operator and the Otsu algorithm were introduced to preprocess the lane image of intelligent vehicle. And the improved Hough transformation algorithm was used to extract the road characteristics and detect the lane edge. According to the prediction result of the Kalman filtering, the area of interest (AOI) of the lane edge was established and the AOI's size ...


Modeling and parameter estimation for in-pipe swimming robots

You Wu; Dimitris Chatzigeorgiou; Kamal Youcef-Toumi; Mohamed Zribi 2015 American Control Conference (ACC), 2015

State-of-the-art, in-pipe, crawling robots face challenges in small diameter, non-smooth, water distribution pipes, mostly because of their direct contact with the pipe walls. On the other hand, swimming robots show greater potential in performing various maneuvers inside the pipes, because of the freedom in their motion. Such autonomous, swimming robots are needed for pipe-monitoring and leak detection in all sorts ...


On the Induction of Topological Maps from Sequences of Colour Histograms

Felix Werner; Joaquin Sitte; Frederic Maire 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007), 2007

This paper presents an appearance­based method to automatically determine places from vision data for topological mapping. The approach exploits the continuity of the visual appearance of consecutive images when a robot traverses the environment. Places are determined by clustering colour histograms, and a probabilistic filtering strategy eliminates spurious places with weak evidence. Further, we discuss steps towards the induction of ...


Studies about the atomic capabilities concept for linear control systems in physical multi-agent environments

C. G. Quintero M; J. L. de la Rosa; J. Vehi 2005 International Symposium on Computational Intelligence in Robotics and Automation, 2005

This paper shows the impact of the atomic capabilities concept to include control-oriented knowledge of linear control systems in the decisions making structure of physical agents. These agents operate in a real environment managing physical objects (e.g. their physical bodies) in coordinated tasks. This approach is presented using an introspective reasoning approach and control theory based on the specific tasks ...


An LMI based optimal design of parallel manipulators

Y. J. Lou; G. F. Liu; Z. X. Li Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003

This paper deals with the problem of optimal design of parallel manipulators which have no singularity, have high stiffness and manipulability and are the most economic. By observing that those requirements can be cast into linear matrix inequalities (LMIs), we formulate the design problem as a convex optimization problem subject to LMIs with either a linear function or a max- ...


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Educational Resources on Kinematics

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eLearning

Research on lane changing and overtaking for Intelligent Vehicle based on vision navigation

You Feng; Wang Rongben; Zhang Ronghui 2008 IEEE International Conference on Industrial Technology, 2008

Median altering, Sobel operator and the Otsu algorithm were introduced to preprocess the lane image of intelligent vehicle. And the improved Hough transformation algorithm was used to extract the road characteristics and detect the lane edge. According to the prediction result of the Kalman filtering, the area of interest (AOI) of the lane edge was established and the AOI's size ...


Modeling and parameter estimation for in-pipe swimming robots

You Wu; Dimitris Chatzigeorgiou; Kamal Youcef-Toumi; Mohamed Zribi 2015 American Control Conference (ACC), 2015

State-of-the-art, in-pipe, crawling robots face challenges in small diameter, non-smooth, water distribution pipes, mostly because of their direct contact with the pipe walls. On the other hand, swimming robots show greater potential in performing various maneuvers inside the pipes, because of the freedom in their motion. Such autonomous, swimming robots are needed for pipe-monitoring and leak detection in all sorts ...


On the Induction of Topological Maps from Sequences of Colour Histograms

Felix Werner; Joaquin Sitte; Frederic Maire 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007), 2007

This paper presents an appearance­based method to automatically determine places from vision data for topological mapping. The approach exploits the continuity of the visual appearance of consecutive images when a robot traverses the environment. Places are determined by clustering colour histograms, and a probabilistic filtering strategy eliminates spurious places with weak evidence. Further, we discuss steps towards the induction of ...


Studies about the atomic capabilities concept for linear control systems in physical multi-agent environments

C. G. Quintero M; J. L. de la Rosa; J. Vehi 2005 International Symposium on Computational Intelligence in Robotics and Automation, 2005

This paper shows the impact of the atomic capabilities concept to include control-oriented knowledge of linear control systems in the decisions making structure of physical agents. These agents operate in a real environment managing physical objects (e.g. their physical bodies) in coordinated tasks. This approach is presented using an introspective reasoning approach and control theory based on the specific tasks ...


An LMI based optimal design of parallel manipulators

Y. J. Lou; G. F. Liu; Z. X. Li Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003

This paper deals with the problem of optimal design of parallel manipulators which have no singularity, have high stiffness and manipulability and are the most economic. By observing that those requirements can be cast into linear matrix inequalities (LMIs), we formulate the design problem as a convex optimization problem subject to LMIs with either a linear function or a max- ...


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IEEE-USA E-Books

  • A Case Study in Environmental Disaster Management

    **What makes teamwork tick?** Cooperation matters, in daily life and in complex applications. After all, many tasks need more than a single agent to be effectively performed. Therefore, teamwork rules! Teams are social groups of agents dedicated to the fulfilment of particular persistent tasks. In modern multiagent environments, heterogeneous teams often consist of autonomous software agents, various types of robots and human beings. _Teamwork in Multi-agent Systems: A Formal Approach_ explains teamwork rules in terms of agents' attitudes and their complex interplay. It provides the first comprehensive logical theory, TeamLog, underpinning teamwork in dynamic environments. The authors justify design choices by showing TeamLog in action. The book guides the reader through a fascinating discussion of issues essential for teamwork to be successful: * What is teamwork, and how can a logical view of it help in designing teams of agents? * hat is the role of agents' awareness in an uncertain, dynamic environment? * How does collective intention constitute a team? * How are plan-based collective commitments related to team action? * How can one tune collective commitment to the team's organizational structure and its communication abilities? * What are the methodological underpinnings for teamwork in a dynamic environment? * How does a team and its attitudes adjust to changing circumstances? * How do collective intentions and collective commitments arise through dialogue? * What is the computational complexity of TeamLog? * How can one make TeamLog efficient in applications? This book is an invaluable resource for researchers and graduate students in computer science and artificial intelligence as well as for developers of multi-agent systems. Students and researchers in organizational science, in particular those investigating teamwork, will also f nd this book insightful. Since the authors made an effort to introduce TeamLog as a conceptual model of teamwork, understanding most of the book requires solely a basic logical background.

  • Kinematics and Trajectory Planning

    This chapter addresses human hand anatomy, the problems of forward kinematics, inverse kinematics, differential kinematics, and trajectory planning. The joints of thumb and four fingers contain two saddle‐shaped articulating surfaces between two bones and is4 classified as saddle joints. Index, middle, ring, and little fingers include three revolute joints in order to do the angular movements. Kinematics is restricted to a natural geometrical description of motion, including positions, orientations, and their derivatives. A general systematic method needs to be derived to define the relative position and orientation of two consecutive links to calculate the forward kinematic equations for a serial n‐link revolute‐joint manipulator. The maximum joint angles of each joint depend on different individuals. It is necessary to know the desired paths before the robotic hand is controlled to execute a specific hand motion task.

  • Sensor and Actor Networks

    This chapter contains sections titled: Introduction Challenges and research objectives Limitations

  • Network Architecture for Wearable Robots

    This chapter contains sections titled: Introduction Wearable Robots and Interactions Wearable Robot Design Distributed Service‐Based Architecture Application Scenario Related Works Conclusion

  • Cooperative Remote Sensing Using Multiple Unmanned Vehicles

    This chapter contains sections titled: * Consensus-Based Formation Control * Surface Wind Profile Measurement Using Multiple UAVs * Chapter Summary * References

  • Coordination in Sensor, Actuator, and Robot Networks

    This chapter contains sections titled: * Sensor-Actuator Coordination * Task Assignment in Multirobot Systems * Selecting Best Robot(s) when Communication Cost is Negligible * Selecting Best Robot(s) with Nonnegligible Communication Costs * Dynamic Task Assignment * Deploying Sensors to Improve Connectivity * Fault-Tolerant Semipassive Coordination Among Actuators * Dispersion of Autonomous Mobile Robots * Distributed Boundary Coverage by Robots * Clustering Robot Swarms * Robot Teams for Exploration and Mapping * Coordinated Actuator Movement for Energy-Efficient Sensor Reporting * Flying Robots * References

  • A HOIM¿¿¿Based Iterative Learning Control Scheme for Multi¿¿¿agent Formation

    By incorporating a high order internal model into the learning process, ILC is extended to solve an iteratively switching formation control problem.

  • Cooperative Mobile Positioning

    Cooperative mobile positioning is becoming increasingly important as a promising new branch of wireless location in which several research directions are being explored (e.g., positioning, tracking, data fusion and clustering). This chapter first discusses the framework of cooperative mobile positioning framework and then introduces the COMET as an innovative solution for position determination in fourth generation (4G) wireless networks. It also presents a brief survey of cooperative localization in robot networks and wireless sensor networks (WSNs), and examines the cooperative mobile positioning approach and its overall benefits. The chapter further illustrates the data fusion and filtering techniques, which have been adapted to cope with the cooperative framework. Finally, it describes COMET, an example of a cooperative augmentation system (CAS) in a cellular network, with its system architecture and its data fusion methods; and explores its performance, which has been evaluated via computer simulations.

  • Single‐Satellite Geolocation System Based on the Kinematic Principle

    This chapter introduces geolocation of emitter of earth by a single satellite by kinematic parameters which include frequency, frequency changing rate, time of arrival(TOA), interferometer phase rate of changing information. The geolocation error is simulated and the Cramer‐Rao lower bound(CRLB) of geolocation error is also analyzed.

  • Conclusions and Future Work

    This chapter presents the conclusions described in the book related to the fusion of hard control strategies such as proportional integral‐derivative (PID), optimal, adaptive, and soft control strategies such as adaptive neuro‐fuzzy inference system (ANFIS), genetic algorithms (GA), particle swarm optimization (PSO), for a robotic or prosthetic hand. Chapter 2 of the book addressed the forward kinematics, inverse kinematics, and differential kinematics models of a serial n revolute‐joint planar two‐link thumb, and three‐link index finger. The fingertip (end‐effector) positions of each finger were derived by forward kinematics. Chapter 3 of the book described the dynamic equations of hand motion successfully derived via Lagrangian approach for two‐link thumb and three‐link fingers using the mathematical model of the actuator by using direct current (DC) motor and mechanical gears.



Standards related to Kinematics

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No standards are currently tagged "Kinematics"