Visual Feedback Tracking of Crane Hook

Nara, Shunsuke; Miyamoto, Daisuke; Takahashi, Satoru; Kaneko, Shun’ichi

doi:10.1109/iros.2006.281999

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…However, the device performs simple distance measurements, without system calibration in relation to the crane coordinate system. The authors extended their research in [32] utilizing three markers attached to the crane base in order to determine only the main rotation axis of the crane. In another research, the human-machine speech interface was proposed to interact and control the crane movements by the use of natural language [33].…”

Section: B Related Workmentioning

confidence: 99%

Stereovision Tracking System for Monitoring Loader Crane Tip Position

et al. 2020

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Section: B Related Workmentioning

confidence: 99%

Stereovision Tracking System for Monitoring Loader Crane Tip Position

et al. 2020

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“…Some researchers have proposed vision systems mounted throughout the crane workspace and have shown them to work well in laboratory conditions [12], [13]. Cranes at Georgia Tech [14] and Logan Aluminum [15] have been equipped with trolley-mounted vision systems to track the crane hook.…”

Section: A Sensing Crane Payloadsmentioning

confidence: 99%

A study of crane operator performance comparing PD-control and input shaping

Vaughan

Karajgikar

Singhose

2011

Proceedings of the 2011 American Control Conference

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Cranes are the primary heavy lifters for a wide variety of industries. However, all cranes suffer from payload oscillation. Numerous feedback-based control methods have been proposed to reduce oscillation. Command-shaping is another method that has received significant attention. This paper compares the two methods for crane control. It also presents a study of twelve novice crane operators using representative input-shaping and feedback control methods. Both feedback control and input shaping reduced average task completion time from the manually controlled case, with input shaping providing the lowest average completion time. Input shaping also allowed the operators to move the trolley through a shorter total path length toward the target, suggesting that input shaping may save energy compared to the feedback and manual control methods.

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“…Unfortunately, both of these methods are expensive. Some researchers have proposed vision systems mounted throughout the crane workspace and have shown them to work well in laboratory conditions [11], [12]. Cranes at Georgia Tech [13] and Logan Aluminum [14] have been equipped with trolleymounted vision systems to track the crane hook.…”

Section: A Sensing Crane Payloadsmentioning

confidence: 99%

Advantages of using command shaping over feedback for crane control

Vaughan

Maleki

Singhose

2010

Proceedings of the 2010 American Control Conference

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Cranes are the primary heavy lifters for a wide variety of industries. However, all cranes share the same important limitation on efficiency: payload oscillation. Given the significance of cranes, it is not surprising that a large amount of research has been dedicated to eliminating this oscillation. Much of this research has been directed toward feedback control methods. Another portion of the work has focused primarily on command-shaping methods. This paper explores the problems with using feedback for crane control, which include the difficulty in sensing the crane payload, widely varying system dynamics, and human-operator compatibility. In light of these problems, input shaping is shown to be a favorable solution.

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Visual Feedback Tracking of Crane Hook

Cited by 8 publications

References 6 publications

Stereovision Tracking System for Monitoring Loader Crane Tip Position

Stereovision Tracking System for Monitoring Loader Crane Tip Position

A study of crane operator performance comparing PD-control and input shaping

Advantages of using command shaping over feedback for crane control

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