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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2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)

The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.


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 IEEE Annual Consumer Communications & Networking Conference (CCNC)

IEEE CCNC 2018 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


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


2018 19th International Carpathian Control Conference (ICCC)

The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education, modeling and simulation of processes and systems. The four sister faculties of four universities of the Carpathian region (Kosice, Krakow, Ostrava, Miskolc), have ancient roots at Mining Academy in Banská Stiavnica (1762) founded together this conference. Later a university from Romania (Craiova) joined the organizers team. Every year the conference is organised by one of the five universities. Recently because the Czech partner let us know that he/she is unable to organise this year the conference we had to take the job of organising the conference. When the conference was organised for the first time in Hungary (2005) it was organized by the small IEEE IAS chapter founded just in 2004.

  • 2017 18th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation in engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.

  • 2016 17th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environmnet, means of support, and information technologies.

  • 2015 16th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.

  • 2014 15th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environmnet, means of support, and information technologies.

  • 2013 14th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the fields of automation, mechanization, robotics, control, and IT in engineering and production, in research, applications and education.

  • 2012 13th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation in engineering and production, in research, applications and education. The conference will enable to present the most recent advances in complex mechanization, robotics, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.

  • 2011 12th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.


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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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Biologically inspired swarm robotic network ensuring coverage and connectivity

[{u'author_order': 1, u'affiliation': u'University of Paderborn, Germany', u'full_name': u'Emi Mathews'}, {u'author_order': 2, u'affiliation': u'University of Paderborn, Germany', u'full_name': u'Tobias Graf'}, {u'author_order': 3, u'affiliation': u'University of Paderborn, Germany', u'full_name': u'K. S. S. B Kulathunga'}] 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), None

Swarm robots provide greater flexibility and robust performance in tasks such as sensing and monitoring of unstructured and unpredictable environments. They need to self-deploy in these environments maximizing coverage and maintaining network connectivity for efficient operation. Inspired from nature, we design a new algorithm based on simple local rules, which achieves coverage and connectivity as an emergent property of the ...


EthoHand: A dexterous robotic hand with ball-joint thumb enables complex in-hand object manipulation

[{u'author_order': 1, u'affiliation': u'Dept. of Bioengineering, Imperial College London, South Kensington Campus, SW7 2AZ, UK', u'full_name': u'Charalambos Konnaris'}, {u'author_order': 2, u'affiliation': u'Dept. of Computing, Imperial College London, South Kensington Campus, SW7 2AZ, UK', u'full_name': u'Constantinos Gavriel'}, {u'author_order': 3, u'affiliation': u'Dept. of Bioengineering, Imperial College London, South Kensington Campus, SW7 2AZ, UK', u'full_name': u'Andreas A. C. Thomik'}, {u'author_order': 4, u'affiliation': u'Dept. of Bioengineering, Imperial College London, South Kensington Campus, SW7 2AZ, UK', u'full_name': u'A. Aldo Faisal'}] 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), None

Our dexterous hand is a fundmanetal human feature that distinguishes us from other animals by enabling us to go beyond grasping to support sophisticated in-hand object manipulation. Our aim was the design of a dexterous anthropomorphic robotic hand that matches the human hand's 24 degrees of freedom, under-actuated by seven motors. With the ability to replicate human hand movements in ...


A geometric approach to the investigation of the dynamics of constrained robotic systems

[{u'author_order': 1, u'affiliation': u'Thomas Jefferson University/Medical Physics Division, Philadelphia, PA, USA', u'full_name': u'I. M. Buzurovic'}, {u'author_order': 2, u'affiliation': u'University of Belgrade, School of Mechanical Engineering/Automatic Control Department, Belgrade, Serbia', u'full_name': u'D. Lj. Debeljkovic'}] IEEE 8th International Symposium on Intelligent Systems and Informatics, None

Medical-technical robotic systems are typical examples in which external contact forces on a system play an important role in the system dynamics. Mathematical modeling of these systems is challenging due to a variety of reasons. Mathematical models for the described class of systems contain differential equations with an associate algebraic equation, which outlines constrained system dynamics. Such a system is ...


Sliding-mode tracking control for uncertain mobile robots

[{u'author_order': 1, u'affiliation': u'Department of Electrical Engineering, I-Shou University, Kaohsiung City, Taiwan', u'full_name': u'Chieh-Chuan Feng'}] 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), None

The aim of this paper is to introduce a nonlinear error framework for nonholonomic mobile robots for which a robust tracking controller is synthesized such that the overall feedback error system is globally asymptotically stable (GAS); this, in turn, accomplishes the desired trajectory tracking of the control, since the errors are driven to the equilibrium. In contrast to locally asymptotically ...


Design of a hydraulic ankle-foot orthosis

[{u'author_order': 1, u'affiliation': u'Department of Electrical Engineering, Qatar University, Doha, Qatar', u'full_name': u'Artur Gmerek'}, {u'author_order': 2, u'affiliation': u'Department of Electrical Engineering, Qatar University, Doha, Qatar', u'full_name': u'Nader Meskin'}, {u'author_order': 3, u'affiliation': u'Department of Biomedical Engineering, McGill University, Montreal, QC H3A 2B4, Canada', u'full_name': u'Ehsan Sobhani Tehrani'}, {u'author_order': 4, u'affiliation': u'Department of Biomedical Engineering, McGill University, Montreal, QC H3A 2B4, Canada', u'full_name': u'Robert Kearney'}] 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), None

This paper presents the design and simulation of an ankle-foot orthosis (AFO) to assist human walking. Design requirements were established based on a quantitative study of published data, simulations of human walking, and a model of intrinsic and reflex ankle joint stiffness. The design of an AFO that meets these requirements is then presented; it comprises a small linear, hydraulic ...


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Educational Resources on Kinematics

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eLearning

No eLearning Articles are currently tagged "Kinematics"

IEEE-USA E-Books

  • Distributed Navigation for Swarming with a Given Geometric Pattern

    This chapter offers a decentralized formation control algorithm to coordinate a network of mobile robotic sensors so that they collectively move into a rectangular lattice pattern from any initial deployment. Under this strategy, a network of mobile robotic sensors is moved in a pre-specified geometric pattern from any initial positions and should subsequently stay in the respective formation, while moving with a given speed. For conciseness and definiteness, this chapter focused on a rectangular pattern. Numerical simulations are presented to illustrate this algorithm. This chapter also ensures that the mobile robotic sensors move as a swarm with a desired geometric shape in a common direction with a common speed.

  • 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.

  • Multi-Level Barrier Coverage

    This chapter addresses a problem of multi-level barrier coverage. The proposed distributed and decentralized control law drives a network of sensors to form K-layers of parallel sensor arrays between two given points. The advantage of this law is that it is computationally efficient and easily implementable. Moreover, the sensors have no prior information about the region where the coverage is required. The main result of this chapter assumes connectivity of the communication graph of the mobile sensor network at any time. That chapter also looks into the potential applications of multilevel barrier coverage in border surveillance.

  • Introduction to Self‐Organization

    This chapter contains sections titled: Understanding self‐organization Application scenarios for self‐organization

  • Data Processing in Current 3D Robotic Perception Systems

    This chapter introduces the data processing methods for two typical robotic perception systems: light detection and ranging (LIDAR)-based and Flash LIDAR Camera (FLC)-based systems. The most popular 3D perception sensors in robotics include stereovision system and light detection and ranging (LIDAR). The representative applications of stereovision have been demonstrated in NASA's Mars Exploration Rover [4, 5] program and the DARPA's Learning Applied to Ground Robots [6-9] program. A LIDAR system outperforms a stereovision system in terms of the completeness and accuracy of range data. An FLC illuminates the entire scene with a single laser pulse (or modulated infrared light) and focuses the image onto the 3D sensor's focal plane array (FPA). The sensors used for mapping and navigation include a 2D LIDAR and a three-axis fiber optic gyro. A robotic device is a portable robotic system with navigational functions such as positioning, obstacle detection, and scene recognition.

  • Coordination in Sensor, Actuator, and Robot Networks

  • Collaboration and Task Allocation

    This chapter contains sections titled: Introduction to MRTA Intentional cooperation - auction‐based task allocation Emergent cooperation Conclusion Appendix III: Coordination and Control - Further Reading

  • 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.

  • Problems of Barrier and Sweep Coverage in Corridor Environments

    This chapter theoretically develops decentralized control laws for the coordination of a mobile robotic sensor network to address the barrier and sweep coverage problems in corridor environments. The barrier and sweep coverage include, but are not limited to, a military; for example, barrier coverage can be applied to mine deployment and sentry duty; whereas sweep coverage can be used in multi-sensor minesweeping, reconnaissance, maintenance inspection, and ship hull cleaning. The proposed control algorithms are applicable to real-time coverage operations. The control algorithms are illustrated by numerical simulations. Even though the theoretical results on the developed control algorithms are proved for straight corridors, computer simulations demonstrate that the algorithms are effective in curved corridors as well.

  • 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.



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