A Computer-Based Learning System for Remote Manipulator Control

Freedy, Amos; Hull, F. C.; Lucaccini, Luigi F.; Lyman, John

doi:10.1109/tsmc.1971.4308319

Cited by 27 publications

(5 citation statements)

References 4 publications

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“…(This is very similar to Sacerdoti's procedural nets.) Freedy (1971) and Albus (1973) have both designed learning systems which observe the human operator's control of the arm and look for patterns of motion which can be automatically executed. The explicit command of arm motion appears to be a more practical alternative.…”

Section: A Successful Embodiment Of the Frame Theory Is Noah (Nets Ofmentioning

confidence: 99%

“…For several years, Freedy, Weltman and others at Perceptronics have experimented with computer-aids to manipulation, One method (Freedy et al, 1971) used was a learning system (ACS) which observed the human operator's motion of the manipulator, If the motion was repetitive enough, the computer could make (with varying degrees of confidence) a prediction of what the next motion was going to be, take over control from the operator, and execute the most likely trajectory.…”

Section: Use Of Proximity Sensorsmentioning

confidence: 99%

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Human and Computer Control of Undersea Teleoperators

Sheridan

Verplank²

1978

849

487

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Section: A Successful Embodiment Of the Frame Theory Is Noah (Nets Ofmentioning

confidence: 99%

Section: Use Of Proximity Sensorsmentioning

confidence: 99%

Human and Computer Control of Undersea Teleoperators

Sheridan

Verplank²

1978

849

487

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“…Book et al [52], Cook [53], Freedy et al [54], Hardin et al [55], Ji-Ping and De Diana [56], Kaltenborn et al [57], Linstead [58], Mendiburo and Biswas [59], Mevarech [60], Milne and Rowe [61], Morris [62], Pagano et al [63], Pizzutilo and Tangorra [64], Porta [65], Rowe and Gregor [66], Sambrook et al [67], Semerikov et al [68], Shubin et al [69], Sleeman and Hartley [70], Tait and Hughes [71], Wegner et al [72] and others have studied the creation and implementation of computer-based learning systems.…”

Section: Related Workmentioning

confidence: 99%

Improving the learning environment for future mathematics teachers with the use application of the dynamic mathematics system GeoGebra AR

Osypova¹,

Tatochenko²

2021

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Immersive technologies and, in particular, augmented reality (AR) are rapidly changing the sphere of education, especially in the field of science, technology, engineering, arts and mathematics. High- quality professional training of a future mathematics teacher who is able to meet the challenges that permeate all sides, the realities of the globalizing information society, presupposes reliance on a highly effective learning environment. The purpose of the research is to transform the traditional educational environment for training future mathematics teachers with the use of the GeoGebra AR dynamic mathematics system, the introduction of cloud technologies into the educational process. The educational potential of GeoGebra AR in the system of professional training of future mathematics teachers is analyzed in the paper. Effective and practical tools for teaching mathematics based on GeoGebra AR using interactive models and videos for mixed and distance learning of students are provided. The advantages of the GeoGebra AR dynamic mathematics system are highlighted. The use of new technologies for the creation of didactic innovative resources that improve the process of teaching and learning mathematics is presented on the example of an educational and methodological task, the purpose of which is to create didactic material on the topic “Sections of polyhedra”. While solving it, future teachers of mathematics should develop the following constituent elements: video materials; test tasks for self-control; dynamic models of sections of polyhedra; video instructions for constructing sections of polyhedra and for solving basic problems in the GeoGebra AR system. The article highlights the main characteristics of the proposed educational environment for training future mathematics teachers using the GeoGebra AR dynamic mathematics system: interdisciplinarity, polyprofessionalism, dynamism, multicomponent.

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“…Research into the automatic detection of conditions in which the computer takes over from the human operator, and vice versa, has not yet reached an advanced level (Jolly, 1982;Freedy and Weltam, 1972;Freedy et al, 1971;Corliss and Johnsen, 1968;Sheridan and Ferrell, 1974). By simplifying the issue somewhat, the computer can be said to intervene in three main ways, when the substitution function is activated:…”

Section: Introductionmentioning

confidence: 99%

Teleoperation and Robotics

Vertut¹,

Coiffet²

1985

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LondonThis work entitled Teleoperation and Robotics is published as two volumes: Volume 3A Evolution and DevelopmentPart 1 Introduction Volume 38 Applications and TechnologyPart 2 The contribution of computer science Part 3 Performance and the man-machine interface Part 4 Applications of teleoperationThe references cited in Volume 3A are placed after the text in Volume 3A, and the complete bibliography is included in Volume 3B. Both volumes are indexed separately. Whenever possible the figures are numbered consecutively according to the section in which they appear.

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A Computer-Based Learning System for Remote Manipulator Control

Cited by 27 publications

References 4 publications

Human and Computer Control of Undersea Teleoperators

Human and Computer Control of Undersea Teleoperators

Improving the learning environment for future mathematics teachers with the use application of the dynamic mathematics system GeoGebra AR

Teleoperation and Robotics

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