Trends in robot control: Autonomous behavior and remote control — the VR contribution

2007 ◽  
pp. 355-380
Author(s):  
Ph. Coiffet
Keyword(s):  
Remote Control ◽  
Robot Control ◽  
Autonomous Behavior

Augmented Reality Used for Robot Remote Control in Educational Laboratories

2014 ◽  
Vol 658 ◽  
pp. 672-677
Author(s):  
Ildiko Pasc ◽  
Lehel Csokmai ◽  
Florin Popentiu-Vladicescu ◽  
Radu Tarca
Keyword(s):  
Remote Control ◽  
Augmented Reality ◽  
Engineering Education ◽  
Robot Control ◽  
Research Team ◽  
Research Centers ◽  
Working Space ◽  
Internet Users ◽  
The World ◽  
The Web

One of the main aspects of teaching in engineering education, including robotics engineering, is to experiment. Due to the complexity of the equipment involved, robotics research is expensive, thus limiting the access of researchers/students to perform activities of this kind. One possibility to access these devices is to share them with other universities and research centers from different locations in the world. The research team was focused on building a telerobotic educational lab operated via the web so that interested Internet users should be able – using augmented reality – to manipulate and share with other users the robot control. In this paper the specificity of the robot’s environment is the existence of a grid, drawn on the telerobotic working space.

TouchMe: An Augmented Reality Interface for Remote Robot Control

2013 ◽  
Vol 25 (3) ◽  
pp. 529-537 ◽  
Author(s):  
Sunao Hashimoto ◽  
◽  
Akihiko Ishida ◽  
Masahiko Inami ◽  
Takeo Igarashi ◽  
...  
Keyword(s):  
Remote Control ◽  
Augmented Reality ◽  
Robot Control ◽  
User Interaction ◽  
Point Of View ◽  
Empirical Comparison ◽  
User Input ◽  
Third Person ◽  
The Right ◽  
The Relationship

General remote-control robots are manipulated by joysticks or game pads. These are difficult for inexperienced users, however, because the relationship between user input and the resulting robot movement may not be intuitive, e.g., tilting the joystick to the right to rotate the robot left. To solve this problem, we propose a touch-based interface called TouchMe for controlling a robot remotely from a third-person point of view. This interface allows the user to directly manipulate individual parts of a robot by touching it as seen by a camera. Our system provides intuitive operation allowing the user to use it with minimal training. In this paper, we describe TouchMe interaction and prototype implementation. We also introduce three types of movement for controlling the robot in response to user interaction and report on results of an empirical comparison of these methods.

Dialogue Control of Collaborative Robots Based on Artifi cial Neural Networks

2021 ◽  
Vol 22 (11) ◽  
pp. 567-576
Author(s):  
A. S. Yuschenko ◽  
Yin Shuai
Keyword(s):  
Neural Networks ◽  
Robot Control ◽  
Current Situation ◽  
Service Robot ◽  
Autonomous Behavior ◽  
Situation Recognition ◽  
Wide Range ◽  
Manipulation Robots ◽  
Special Knowledge ◽  
Autonomous Movement

Collaborative robotics progress is based on the possibility to apply robots to the wide range activity of peoples. Now the user can control the robot without any special knowledge in robotics and safe. The price of such possibilities is complication of control system of robot which now has to aquire an opportunity of autonomous behavior under human’s control, using the necessary sensors and elements of artificial intelligence. In our research we suppose the collaborative robot as mobile robotic device possible to fulfil some work under the human’s speech demands not only in the same space with the human. We also suppose the necessity of bilateral dialogue human-robot to make it clear the task, the current situation, the state as robot as human. The complex task of control, or may be the collaboration of human with his artificial partner need new means of control, situation recognition, speech dialogue management. As a mean to solve the whole complex of problems we propose the combination of different artificial neural networks. Such as convolution networks for image recognition, deep networks for speech recognition, LSTM networks for autonomous movement of robot control in current situation. Investigations in the field of mobile and manipulation robots including the human-robot control have been proceeded for some years in the department "Robotic systems and mechatronics" BMSTU celebrating now it 70th years Jubilee. The reader may find some of the works in the bibliography. In result of all these investigations we obtain the service robot model which may find a wide application.

Modeling Self-Determination Theory Motivation Data by Using Unfolding IRT

2020 ◽  
pp. 1-9
Author(s):  
Philipp A. Freund ◽  
Annette Lohbeck
Keyword(s):  
Ideal Point ◽  
Self Determination Theory ◽  
Self Determination ◽  
Dominance Model ◽  
Irt Model ◽  
Autonomous Behavior ◽  
Location Parameters ◽  
Unfolding Models ◽  
Using Data ◽  
Item Location

Abstract. Self-determination theory (SDT) suggests that the degree of autonomous behavior regulation is a characteristic of distinct motivation types which thus can be ordered on the so-called Autonomy-Control Continuum (ACC). The present study employs an item response theory (IRT) model under the ideal point response/unfolding paradigm in order to model the response process to SDT motivation items in theoretical accordance with the ACC. Using data from two independent student samples (measuring SDT motivation for the academic subjects of Mathematics and German as a native language), it was found that an unfolding model exhibited a relatively better fit compared to a dominance model. The item location parameters under the unfolding paradigm showed clusters of items representing the different regulation types on the ACC to be (almost perfectly) empirically separable, as suggested by SDT. Besides theoretical implications, perspectives for the application of ideal point response/unfolding models in the development of measures for non-cognitive constructs are addressed.

The Remote Control of Parapsychology

1981 ◽  
Vol 26 (1) ◽  
pp. 11-12
Author(s):  
James E. Alcock
Keyword(s):  
Remote Control

Robot Control—Theory and Applications

IEE Review ◽  
1988 ◽  
Vol 34 (7) ◽  
pp. 280
Author(s):  
A.G. Blay
Keyword(s):  
Control Theory ◽  
Robot Control

A remote control eucentric goniometer head for use within a top loading helium cryostat

1984 ◽  
Vol 19 (9) ◽  
pp. 795-797 ◽  
Author(s):  
M. Berneron ◽  
A. Filhol ◽  
J.J. Vernier ◽  
M. Thomas
Keyword(s):  
Remote Control ◽  
Helium Cryostat ◽  
Goniometer Head

Radiation Mould with Radio Isotope Solutions Fluid „Iso-mould”

1961 ◽  
Vol 1 (03) ◽  
pp. 246-257
Author(s):  
M. O. Roxo-Nobre ◽  
D. M. Vizeu
Keyword(s):  
Clinical Practice ◽  
Remote Control ◽  
Lymph Nodes ◽  
Half Life ◽  
Radioactive Substances

SummaryA technique of mouldage, employing fluid radioactive substances is adopted, to replace the radium-moulding in the treatment of large surfaces. The technique is explained in detail, proving its greater safety by remote control and an adjustment of adequate means of protection. Distribution is obtained by means of a serpentine attached to the mould in question, which follows the Paterson-Parker system. The authors believe the distribution of radiation on curved anatomical areas to be much more uniform by mould system than any other process of application of the same radiation of rectilineal propagation, transmitted at greater focus-skin distances. The isotopes used up to now were the La140 and others of reduced half-life, in order to prevent the danger of eventual contaminations. Although the application of the process still has very little clinical practice, the technique is presented with a view to experimentation in extensive superficial tumours, or those of little depth, such as tumours of the skin, breast, penis, thyrreoid and lymph nodes.

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