Understanding users intention: programming fine manipulation tasks by demonstration

Zöllner, R.; Rogalla, O.; Dillmann, R.; Zöllner, Marius

doi:10.1109/irds.2002.1043880

Cited by 50 publications

(29 citation statements)

References 9 publications

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“…Dieses Verfahren wird bereits erfolgreich für das Programmieren durch Vormachen genutzt [204]. Dabei erleichtern die taktilen Sensoren die Erkennung der Greifmuster [57] und die Segmentierung der vorgeführten Bewegung in die einzelnen Greifphasen [205]. Verwendet werden diese Informationen dort, um den demonstrierten Greifvorgang so weit zu abstrahieren, dass er sich auf andere Greifergeometrien übertragen lässt.…”

Section: Generierung Von Greifmusterdatenunclassified

Ein Beitrag zur Integration von Sensoren in eine anthropomorphe künstliche Hand mit flexiblen Fluidaktoren

Martin¹

2005

At - Automatisierungstechnik

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Section: Generierung Von Greifmusterdatenunclassified

Ein Beitrag zur Integration von Sensoren in eine anthropomorphe künstliche Hand mit flexiblen Fluidaktoren

Martin¹

2005

At - Automatisierungstechnik

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“…Programming by demonstration has emerged as one of the most promising solutions for effective programming of robot tasks (Ikeuchi & Suehiro, 1994;Zollner et al, 2002). Contour following is one of basic task in industrial robot manipulation.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Autonomous Contour Following Algorithms for Industrial Robot

Prabuwono¹,

Jacobalis²,

Burhanuddin³

et al. 2010

Robot Manipulators Trends and Development

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“…Programming by demonstration has emerged as one of the most promising solutions for effective programming of robot tasks [1,2] . Contour following is one of basic task in industrial robot manipulation.…”

Section: Introductionmentioning

confidence: 99%

Contour Following Task with Dual Sensor Logic Algorithm for Adept Selective Compliant Assembly Robot Arm Robot

Prabuwono¹,

Jacobalis²,

Sulaiman³

et al. 2009

J. of Computer Science

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Problem statement:The capability of performing autonomously a contour following task of a shape object is required for an industrial robot manipulator. These tasks include welding, sealing, grinding, painting and many more. These applications are very tedious and time consuming if done by manual contour following system. Approach: This study proposed the development of dual sensor logic algorithm for contour following task in order to automate the manual programming process. Results: The outcome of this study was to make industrial robot capable of doing self learning to follow the contour with minimal human involvement. The algorithm had been developed and tested using Adept Selective Compliant Assembly Robot Arm (SCARA) robot. Conclusion: The result showed its possibility could be used as automated contour following task for real industrial robot.

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Understanding users intention: programming fine manipulation tasks by demonstration

Cited by 50 publications

References 9 publications

Ein Beitrag zur Integration von Sensoren in eine anthropomorphe künstliche Hand mit flexiblen Fluidaktoren

Ein Beitrag zur Integration von Sensoren in eine anthropomorphe künstliche Hand mit flexiblen Fluidaktoren

Performance Evaluation of Autonomous Contour Following Algorithms for Industrial Robot

Contour Following Task with Dual Sensor Logic Algorithm for Adept Selective Compliant Assembly Robot Arm Robot

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