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Deep Transfer Learning of Pick Points on Fabric for Robot ...
arXiv
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由 D Seita 著作2018被引用 102 次 — We present a supervised deep transfer learning approach to locate pick points using depth images for invariance to color and texture.
Deep Transfer Learning of Pick Points on Fabric for Robot ...
Springer
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由 D Seita 著作2019被引用 102 次 — We present a supervised deep transfer learning approach to locate pick points using depth images for invariance to color and texture.
Deep Transfer Learning of Pick Points on Fabric for Robot ...
ResearchGate
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A fundamental challenge in manipulating fabric for clothes folding and textiles manufacturing is computing “pick points” to effectively modify the state of ...
Deep Transfer Learning of Pick Points on Fabric for Robot ...
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This work considers the task of bed-making, where a robot sequentially grasps and pulls at pick points to increase blanket coverage, and suggests that ...
(PDF) Robot Bed-Making: Deep Transfer Learning Using ...
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We formalize the bed-making problem as one of maximizing surface coverage with a blanket, and explore algorithmic approaches that use deep learning on depth ...
Robot Bed-Making: Deep Transfer Learning Using Depth ...
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The bed-making problem is formalized as one of maximizing surface coverage with a blanket, and algorithmic approaches that use deep learning on depth images ...
Daniel Seita
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IEEE International Conference on Robotics and Automation (ICRA), 2019. 120, 2019. Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. D Seita ...
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Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. Daniel Seita*, Nawid Jamali*, Michael Laskey*, Ron Berenstein, Ajay Tanwani, Prakash ...
Ajay Tanwani - Google 學術搜尋
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Deep transfer learning of pick points on fabric for robot bed-making. D Seita ... A Fog Robotics Approach to Deep Robot Learning: Application to Object ...
Deformable Object Manipulation
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Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making ... We compare coverage results from (1) human supervision, (2) a baseline of picking at the ...