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- W4386558462 abstract "This thesis explores solutions to the challenge of robots manipulating deformable objects such as fabric and ropes. We propose a new approach that learns from real-world data, supplemented by domain knowledge, rather than relying on extensive and time-consuming computer simulations. We can train robots to fold fabric using just one hour of data gathered automatically by a robot. We also introduced a method that allows robots to efficiently learn how to fold or smooth out cloth by observing video demonstrations by humans." @default.
- W4386558462 created "2023-09-09" @default.
- W4386558462 creator A5002882004 @default.
- W4386558462 date "2023-09-08" @default.
- W4386558462 modified "2023-09-28" @default.
- W4386558462 title "Learning robotic manipulation of deformable objects in the real world" @default.
- W4386558462 doi "https://doi.org/10.5204/thesis.eprints.242729" @default.
- W4386558462 hasPublicationYear "2023" @default.
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