2014 14th International Conference on Control, Automation and Systems (ICCAS 2014) 2014
DOI: 10.1109/iccas.2014.6988043
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Cited by 11 publications
(5 citation statements)
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“…Deep learning has been widely used in many tasks, such as image captioning [35][36][37], image to image translation [38], neural machine translation [39], robotics [40,41], fashion recommendation [42], OCR [43] etc. In this paper, we investigated a brand-new framework for multi-task learning on the spatial-temporal data.…”
Section: Discussionmentioning
confidence: 99%
“…Deep learning has been widely used in many tasks, such as image captioning [35][36][37], image to image translation [38], neural machine translation [39], robotics [40,41], fashion recommendation [42], OCR [43] etc. In this paper, we investigated a brand-new framework for multi-task learning on the spatial-temporal data.…”
Section: Discussionmentioning
confidence: 99%
“…Based on the given parameters, this study exercised inverse kinematics (Can et al, 2018; López et al, 2006; Yang et al, 2014) to calculate three motor rotations required to displace the movable platform to target positions (Jian and Lou, 2017; Zhao et al, 2015).…”
Section: Development Of Canopen-based Control System For a Parallel Robot Mechanismmentioning
confidence: 99%
“…The x A -and z A -axis are located in the base plane with z A -axis parallel to line B 2 B 3 , Whilst y A -axis is perpendicular to the base plane and forms a right-handed coordinate frame. 1) Forward kinematics: The forward kinematics of the Delta manipulator can be solved using a geometrical method [24]. As the base and end-effector always remain in the same orientation, it only allows the end-effector to move in translational motion.…”
Section: B the Delta Manipulatormentioning
confidence: 99%