319 resources related to Motor Coordination
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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.
The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
2020 IEEE Energy Conversion Congress and Exposition (ECCE)
IEEE-ECCE 2020 brings together practicing engineers, researchers, entrepreneurs and other professionals for interactive and multi-disciplinary discussions on the latest advances in energy conversion technologies. The Conference provides a unique platform for promoting your organization.
Held since 1992, the IEEE Haptics Symposium (HAPTICS) is a vibrant interdisciplinary forum where psychophysicists, engineers, and designers come together to share advances, spark new collaborations, and envision a future that benefits from rich physical interactions between humans and computers, generated through haptic (force and tactile) devices.
The PCIC provides an international forum for the exchange of electrical applications technology related to the petroleum and chemical industry. The PCIC annual conference is rotated across North American locations of industry strength to attract national and international participation. User, manufacturer, consultant, and contractor participation is encouraged to strengthen the conference technical base. Success of the PCIC is built upon high quality papers, individual recognition, valued standards activities, mentoring, tutorials, networking and conference sites that appeal to all.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
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.
The magazine covers theory, analysis, design (computer-aided design), and practical implementation of circuits, and the application of circuit theoretic techniques to systems and to signal processing. Content is written for the spectrum of activities from basic scientific theory to industrial applications.
Educational methods, technology, and programs; history of technology; impact of evolving research on education.
The Canadian Journal of Electrical and Computer Engineering, issued quarterly, has been publishing high-quality refereed scientific papers in all areas of electrical and computer engineering since 1976. Sponsored by IEEE Canada (The Institute of Electrical and Electronics Engineers, Inc., Canada) as a part of its role to provide scientific and professional activity for its members in Canada, the CJECE complements ...
2008 SICE Annual Conference, 2008
This paper proposes a method for learning and controlling an industrial robot manipulator through fuzzy voice commands guided by visual motor coordination. The visual motor coordination learning is implemented by a supervised self organizing map (SSOM). Study of human-robot communication is one of the most important research areas. The voice communication is significant in human robot interactions among various communication ...
IEEE Transactions on Autonomous Mental Development, 2015
Previous research on social interaction among humans suggested that interpersonal motor coordination can help to establish social rapport. Our research addresses the question of whether, in a human-humanoid interaction experiment, the human's overall perception of a robot can be improved by realizing motor coordination behavior that allows the robot to adapt in real- time to a person's behavior. A synchrony ...
The Journal of Engineering, 2019
The number of stroke patients is rapidly increasing in the elderly society, which leads to growing demand for lower limb rehabilitation training. Currently, one patient needs two or more therapists for assistance during gait training. It results in the shortage of therapists' population, furthermore, heavy works load on the therapist. The emerging robotic technologies provide a solution to assist the ...
Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694), 2003
In this paper, human motor learning model based sensory motor coordination (SMC) algorithm is implemented on robotic grasping task. Compare to conventional SMC models, which connect sensor to motor directly, the proposed method used biologically inspired human memory structure in conjunction with SMC algorithm for fast grasping force control of robot arm. To characterize various grasping objects, pressure sensors on ...
1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, 1997
This paper investigates how a human learns the perceptual-motor coordination to adapt to his/her unknown dynamical environment while performing a required task. We focus on a specific task of turning a crank. The crank's size and its center are unknown and can be adjusted. An AC motor was equipped to change the crank's dynamics. A head mounted display provides the ...
Machine Learning of Motor Skills for Robotics
EMBC 2011-Workshop- Motor Control Principles in Neurorobotics and Prosthetics-PT III
EMBC 2011-Workshop-Motor Control Principles in Neurorobotics and Prosthetics-PT IV
NXP and the HB 2001 at APEC 2016
Surgical Robotics: Human-motor performance in robot-assisted surgery
Conformity Assessment: The Perspective of Product Designers - Gordon Gillerman, Director, Standards Coordination Office, NIST
EMBC 2011-Workshop-Motor Control Principles in Neurorobotics and Prosthetics-PT I
EMBC 2011-Workshop- Motor Control Principles in Neurorobotics and Prosthetics-PT II
Keynote Iddo Moed - ETAP Forum Tel Aviv 2016
Digital Signal Processing for Envelope Tracking Systems
Translational Neural Engineering: Bringing Neurotechnology into the Clinics - IEEE Brain Workshop
ITEC 2014: Electrified Powertrain Vehicles: State of the Industry
Skillful Manipulation Based on High-Speed Sensory-Motor Fusion
APEC 2011-GaN Based Power Devices in Power Electronics
IROS TV 2019-Collaborative Robotics & Intelligent Systems Institute CoRIS at Oregon State University
Coordination of NFPA and IEEE Consensus Document Development
APEC 2011-2011 International Future Energy Challenge@APEC 2011
IFEC 2011-International Future Energy Challenge 2011
Handling of a Single Object by Multiple Mobile Robots based on Caster-Like Dynamics
This paper proposes a method for learning and controlling an industrial robot manipulator through fuzzy voice commands guided by visual motor coordination. The visual motor coordination learning is implemented by a supervised self organizing map (SSOM). Study of human-robot communication is one of the most important research areas. The voice communication is significant in human robot interactions among various communication media. The fuzzy voice commands are used to control the robot and the visual feedback is used to learn the precision control based on visual motor coordination, where it is learned by the supervision of the teacher voice commands. The learned system is capable of positioning the robot manipulator to a point in 3D working space as instructed by the voice command. The proposed idea is demonstrated with a PA-10 industrial manipulator.
Previous research on social interaction among humans suggested that interpersonal motor coordination can help to establish social rapport. Our research addresses the question of whether, in a human-humanoid interaction experiment, the human's overall perception of a robot can be improved by realizing motor coordination behavior that allows the robot to adapt in real- time to a person's behavior. A synchrony detection method using information distance was adopted to realize the real-time human-robot motor coordination behavior, which guided the humanoid robot to coordinate its movements to a human by measuring the behavior synchrony between the robot and the human. The feedback of the participants indicated that most of the participants preferred to interact with the humanoid robot with the adaptive motor coordination capability. The results of this proof-of-concept study suggest that the motor coordination mechanism improved humans' overall perception of the humanoid robot. Together with our previous findings, namely that humans actively coordinate their behaviors to a humanoid robot's behaviors, this study further supports the hypothesis that bidirectional motor coordination could be a valid approach to facilitate adaptive human-humanoid interaction.
The number of stroke patients is rapidly increasing in the elderly society, which leads to growing demand for lower limb rehabilitation training. Currently, one patient needs two or more therapists for assistance during gait training. It results in the shortage of therapists' population, furthermore, heavy works load on the therapist. The emerging robotic technologies provide a solution to assist the therapist, and a number of corresponding researches have been reported. However, most of the existing rehabilitation robots adopt single-arm or double-arm structure, which pays less attention on motor coordination training for the stroke patients. Here, a four-arm rehabilitation robot (FARR) is proposed to assist the hemiplegic patient for motor coordination training. First, the rehabilitation demand is analysed and the corresponding robot mechanism is designed. Then, the kinematics of the robot based on the D-H expression is constructed, and the workspace is obtained. Thirdly, the speed control strategy and the cooperative control for gait training are constructed. The experiment of speed response verifies the superior tracking performance of the robotic joints, and the experiment of using the robot for gait training by a simulated subject is performed. These results prove the feasibility of the designed robot.
In this paper, human motor learning model based sensory motor coordination (SMC) algorithm is implemented on robotic grasping task. Compare to conventional SMC models, which connect sensor to motor directly, the proposed method used biologically inspired human memory structure in conjunction with SMC algorithm for fast grasping force control of robot arm. To characterize various grasping objects, pressure sensors on hand gripper were used. Measured sensor data are fed to short-term memory (STM) to design motor plan promptly using direct connection architecture between sensor and motor, and single layered neural network was applied to mimic STM in human memory structure. Through motor learning procedure, successful information is transferred from STM to long-term memory (LTM). Experimental results showed that the proposed method can control the grasping force adaptable to various shapes and types of grasping objects, and also it showed quicker grasping-behavior learning time compare to simple feedback system.
This paper investigates how a human learns the perceptual-motor coordination to adapt to his/her unknown dynamical environment while performing a required task. We focus on a specific task of turning a crank. The crank's size and its center are unknown and can be adjusted. An AC motor was equipped to change the crank's dynamics. A head mounted display provides the subjects with various visual information. We find that human movements exhibit different performance under different visual information conditions. We suggest that humans utilizes visual information effectively in adapting to unknown dynamical environment.
In this paper, a method is presented for the online learning of visually guided movements. The algorithms presented have been tested with a manipulator tracking manoeuvering targets. Three parameters critical for the visuo-motor coordination are learned in less than one hour with repeated movements. After this learning phase, the robot performs smooth and fast reaching movements and can easily drop small objects into the waggon of a moving model train, independently of the trajectory.
The authors research programme has concentrated on two areas: (i) investigation of the dynamic behaviour of networks composed of arrays of coupled nonlinear differential equations, each equation modelling the leaky integrator shunting dynamics of membrane potential; (ii) the development of an initial outline scheme for a sensory-motor coordination and control system for an intelligent robot based on oscillatory neural networks and synchronous association mechanisms. The authors discuss the background to the research and then present their preliminary results of simulation experiments (synchronised oscillations and chaotic behaviour) and of coordination and control system.<<ETX>>
A visuo-motor coordination scheme is proposed for a robot manipulator in the paper. The motion determination problem is learned by this scheme using neural networks. The motion process consists of basic motion and adjusting motion. A basic network is employed to determine the gross configuration of the robot end-effector using the visual information from two fixed cameras. An adjusting network serves to adjust the configuration of the robot finely using the visual information from two end-effector mounted cameras, so that the robot can handle an object according to the task. The efficiency and the adaptability of the basic network is shown in the simulation. The proposed scheme essentially regards complex calibration and geometric calculations as a simple mapping of the neural networks. The efficiency of this scheme will lead to expanding the application of the robot in a flexible environment.
This study compared the responses of human participants studying motor interference and motor coordination when they were interacting with three different types of visual stimuli: a humanoid robot, a pendulum, and a virtual moving dot. Participants' responses indicated that participants' beliefs about the engagement of the robot affected the elicitation of the motor interference effects. Together with research supporting the importance of other elements of robot appearance and behavior, such as bottom-up effects and biological motion profile, we hypothesize that it may be the overall perception (in this study, by the term “overall perception,” we mean the human observer's overall perception of the robot in terms of appearance, motion, and observer's beliefs) of a robot as a “social entity” instead of any individual appearance or motion feature that is critical to elicit the interference effect in human- humanoid interaction. Moreover, motor coordination responses indicated that the participants tended to synchronize with agents with better overall perception, which were generally in-line with the above hypothesis. Based on all the results from this experimental study, the authors suggest that a humanoid robot with good overall perception as a “social entity” may facilitate “engaging” interactions with a human.
Low-voltage motor protection is normally the starting place for coordination studies of new industrial facilities. Also, improper low-voltage motor coordination is the source of many existing facility problems. Some engineers may frequently do coordination studies, but many engineers only occasionally do coordination studies. Trying to recall the applicable codes, standards, and references is difficult. Funds may not be available to hire "experts" for this type of study. The flow chart developed is to guide the "occasional" coordination engineer and to assist coordination "experts" by providing a reliable method for performing low-voltage three-phase motor coordination studies. The flow chart methodology is suggested for simplifying low-voltage overcurrent device coordination studies for new and existing three-phase motor installations. The flow chart provides references to codes and standards, highlights benchmarks for coordination, provides guides to device selection, and notes the overcurrent values of interest. The text elaborates the use of the National Electrical Code (NEC) for complying with legal requirements, and notes some significant changes in the 1999 NEC. The text also discusses some device selection criteria and expands on the decision points of the flow charts. Other flow charts for upstream devices and medium voltage equipment are being developed for future publication.
No standards are currently tagged "Motor Coordination"