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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. (

Conferences related to Kinematics

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2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.

2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore

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.

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

Industrial information technologies

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)

The conference will provide a forum for discussions and presentations of advancements inknowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.

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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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A Multi-Link-Flexible Robot Arm Catching Thrown Balls

[{u'author_order': 1, u'full_name': u'Joern Malzahn'}, {u'author_order': 2, u'full_name': u'Anh Son Phung'}, {u'author_order': 3, u'full_name': u'Torsten Bertram'}] ROBOTIK 2012; 7th German Conference on Robotics, 2012

The contribution proposes a control architecture, which enables a multi-link- flexible robot arm under gravitational influence to catch multiple balls sequentially thrown by a human. A net at the end-effector is utilized to intercept the balls when they pass the vertically oriented robot plane of motion. The ball detection, tracking as well as the prediction of the ball intercept location ...

Automatic Generation of the Denavit-Hartenberg Convention

[{u'author_order': 1, u'affiliation': u'Hochschule Darmstadt - University of Applied Sciences, Birkenweg 8, D-64295, Germany', u'full_name': u'Wolfgang Weber'}] ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics), 2010

This paper presents the automatic setup of the Denavit-Hartenberg notation for open chain robots. A graphical interface and a virtual construction kit using established joint and link symbols are provided. The user combines symbols by pick and place to define the kinematical configuration. A matrix is automatically generated that competely represents the geometric configuration. Related to this matrix the Denavit-Hartenberg ...

Traveling Wave Locomotion of Snake Robot along Symmetrical and Unsymmetrical body shapes

[{u'author_order': 1, u'affiliation': u'Ferdowsi University of Mashhad, Mashhad, Iran', u'full_name': u'Hadi Kalani'}, {u'author_order': 2, u'affiliation': u'Ferdowsi University of Mashhad, Mashhad, Iran', u'full_name': u'Alireza Akbarzadeh'}, {u'author_order': 3, u'affiliation': u'Ferdowsi University of Mashhad, Mashhad, Iran', u'full_name': u'Javad Safehian'}] ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics), 2010

In this paper, kinematics and dynamics of traveling wave locomotion of a snake robot with two types of body shapes are developed. The body shape, also called body curve, is the actual geometrical shape in the plane in which the robot can assume during its progression. The snake can then travel along this curve. Two types of body curves, symmetrical ...

Motion planning of Free-Floating Space Robot based on gauss pseudo-spectral method

[{u'author_order': 1, u'affiliation': u'College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha 410073', u'authorUrl': u'', u'full_name': u'Liu Haitao', u'id': 38541495200}, {u'author_order': 2, u'affiliation': u'College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha 410073', u'authorUrl': u'', u'full_name': u'Yang Leping', u'id': 38542518300}, {u'author_order': 3, u'affiliation': u'College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha 410073', u'authorUrl': u'', u'full_name': u'Zhang Qingbin', u'id': 37945140600}, {u'author_order': 4, u'affiliation': u'College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha 410073', u'authorUrl': u'', u'full_name': u'Zhu Yanwei', u'id': 38540534900}, {u'author_order': 5, u'affiliation': u'College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha 410073', u'authorUrl': u'', u'full_name': u'Ren Xianhai', u'id': 38540655200}] Proceedings of the 31st Chinese Control Conference, 2012

A nonholonomic motion planning approach is proposed toward the problem of Free-Floating Space Robot (FFSR) motion planning with zero-disturbance base attitude. Firstly, the kinematics model of FFSR is established, and the motion planning problem is transcribed to an optimal control problem. Secondly, the optimal control problem is transcribed to a non-linear parameter optimization problem by using GPM. Finally, an example ...

The Body Extender: A Full-Body Exoskeleton for the Transport and Handling of Heavy Loads

[{u'author_order': 1, u'affiliation': u"Scuola Superiore Sant'Anna, Pisa, 56127, Italy", u'full_name': u'Marco Fontana'}, {u'author_order': 2, u'affiliation': u"Scuola Superiore Sant' Anna, Pisa, 56127, Italy", u'full_name': u'Rocco Vertechy'}, {u'author_order': 3, u'affiliation': u'Scuola Superiore S.Anna, Pisa, 56127, Italy', u'full_name': u'Simone Marcheschi'}, {u'author_order': 4, u'affiliation': u'Scuola Superiore S.Anna, Pisa, 56127, Italy', u'full_name': u'Fabio Salsedo'}, {u'author_order': 5, u'affiliation': u'Scuola Superiore S.Anna, Pisa, 56127, Italy', u'full_name': u'Massimo Bergamasco'}] IEEE Robotics & Automation Magazine, 2014

This article introduces and describes an electrically powered full-body (FB) exoskeleton, called the body extender (BE), intended as a research platform for the study of the transport and handling of heavy loads up to 50 kg, with one hand at worst-load conditions (WLCs). The machine features a 22-degrees- of-freedom (DoF) quasi-anthropomorphic kinematic scheme and a modular hardware/software architecture that made ...

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Educational Resources on Kinematics

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  • Current Collecting Systems, Protection Systems, and Auxiliary Services onboard Vehicles

    This chapter introduces the main devices installed onboard to ensure traction and complementary services. The devices include braking systems, electrochemical batteries, onboard protection systems, electrical power systems, compressed air production systems, and current collecting systems. Onboard protection systems are assigned to a main circuit breaker that is positioned immediately downstream of the current collecting system. Current collecting systems can be divided into two main families: systems based on overhead lines and pantographs, and systems based on third side rails and slippers. The auxiliary services onboard, depending on their power, can be supplied at different voltage levels. Electrochemical rechargeable batteries are of great importance in many electrical systems because they can store chemical energy that can be converted and sent whenever and wherever needed, in electrical form. Especially in railway systems, this kind of battery covers an important role, both for safety and for operations.

  • Electromyography-Driven Modeling for Simulating Subject-Specific Movement at the Neuromusculoskeletal Level

    This chapter provides a comprehensive description of subject-specific electromyography (EMG)-driven musculoskeletal models for the human lower extremity. EMG-driven modeling requires experimental human motion data to be captured for model calibration and operation. A musculoskeletal model is created from medical imaging data of bone and muscle surfaces, such as magnetic resonance imaging (MRI) or computed tomography. The multi-degrees of freedom (DOFs) model comprises five main components: musculotendon kinematics, musculotendon activation, musculotendon dynamics, moment computation, and model calibration. The chapter demonstrates the use of EMG-driven modeling to predict musculotendon units (MTUs) forces and the resulting joint moments about multiple DOFs during dynamic motor tasks. It outlines the use of EMG- driven modeling for applications in neurorehabilitation technologies. EMG- driven methodologies can be successfully applied to study dynamic tasks that involve muscle co-contraction. EMG-informed predictions of muscle forces acting on the hip have been also used to improve estimates of bone remodeling stimulus.

  • 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.

  • Self‐Organization in Technical Systems

    This chapter contains sections titled:General applicabilityOperating Sensor and Actor Networks

  • Introduction

    Due to the rapid development of communication and microelectronics technologies, it became possible to employ spatially distributed wireless sensor networks for performing tasks like target tracking, hazardous environment monitoring, and border surveillance in a geographically vast area. This chapter provides an introduction to this book, which is primarily a research monograph that describes some of the latest developments on distributed coverage control problems for mobile robotic sensor and actuator networks.

  • Distributed Self-Deployment for Forming a Desired Geometric Shape

    This chapter considers a case of the so-called flocking problem for a group of mobile robots. In flocking problems, the control objective is to cooperatively drive mobile robots from random initial locations to a formation of a desired geometric shape. The decentralized randomized control algorithm to navigate a network of autonomous mobile robotic sensors has been modified so that they collectively form a desired geometric pattern on a square grid starting from any initial deployment. In particular, a self-deployment with desired shapes such as interiors of a circle, an ellipse, a rectangle, a ring, and a regular hexagon is considered. It also proposes a randomized algorithm for self- deployment of a robotic sensor network in an unknown bounded region with obstacles. For the proposed distributed randomized algorithms, convergence with probability 1 is proved.

  • Introduction to Self‐Organization

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

  • 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.

  • A Case Study in Environmental Disaster Management


  • 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.

Standards related to Kinematics

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