2016 16th International Conference on Control, Automation and Systems (ICCAS) 2016
DOI: 10.1109/iccas.2016.7832455
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Cited by 2 publications
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“…As objects are approached from above in pick-and-place tasks, common in industrial assembly lines, the presence of a 180 • dome of grasping affordances might not be a reality, and this can be a limiting factor for the success of our algorithm. However, previous authors, from either model-based [7] or learning-based [6], [8] 4 approaches were also hindered by similar problems, and we believe that the ideal solution would go beyond adaptation, by allowing robots to fix their motors/sensors.…”
Section: A Influence On Orientationmentioning
confidence: 95%
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“…As objects are approached from above in pick-and-place tasks, common in industrial assembly lines, the presence of a 180 • dome of grasping affordances might not be a reality, and this can be a limiting factor for the success of our algorithm. However, previous authors, from either model-based [7] or learning-based [6], [8] 4 approaches were also hindered by similar problems, and we believe that the ideal solution would go beyond adaptation, by allowing robots to fix their motors/sensors.…”
Section: A Influence On Orientationmentioning
confidence: 95%
“…Malfunctions are not all the same: When a motor malfunction takes place instead of a sensor malfunction, there is no need for a self-calibration. The works [6] and [7] assume knowledge of all joint angles, and in this case, the problem can be bluntly written as a reduction to N − 1 DOF, with a frozen link. Sensors can break, cables can be disconnected, or just suffer from unknown noise sources, and when the closed-loop motor control is compromised our selfcalibration combined with the adaptation algorithm is vital for the task continuity.…”
Section: A Influence On Orientationmentioning
confidence: 99%
See 2 more Smart Citations