2014
DOI: 10.1080/01691864.2014.959053
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A practical operator support scheme and its application to safety-ensured object break using dual-arm machinery

Abstract: A practical operator support system for disaster response work using construction machinery is applied to object-break operations using a dual-arm machine. An object-break operation, which separates an object into two different parts by applying massive pulling force, requires skillful force and trajectory controls. Operators typically have trouble visually perceiving the movement of the manipulator because the target object is strongly restrained. As a result, after the object has been separated into two piec… Show more

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Cited by 5 publications
(1 citation statement)
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“…Some robots have the capability of workability, but they have just one low-force manipulator to conduct simple works, such as rotating a door knob. Restoration robots, such as construction machines, specialize in workability by having two manipulators for expanding applicable work, similar to human actions [9]; one manipulator grasped a framework and fixed it in place and the other grasped an object and broke it from the framework [12]. Thus, we need a new design concept to satisfy both mobility and workability while improving performance of each function.…”
Section: Design Of Four-arm Four-crawler Disaster Response Robot Octopusmentioning
confidence: 99%
“…Some robots have the capability of workability, but they have just one low-force manipulator to conduct simple works, such as rotating a door knob. Restoration robots, such as construction machines, specialize in workability by having two manipulators for expanding applicable work, similar to human actions [9]; one manipulator grasped a framework and fixed it in place and the other grasped an object and broke it from the framework [12]. Thus, we need a new design concept to satisfy both mobility and workability while improving performance of each function.…”
Section: Design Of Four-arm Four-crawler Disaster Response Robot Octopusmentioning
confidence: 99%