Introduction to Learning To Manipulate Deformable Objects Without Demonstrations
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Learning To Manipulate Deformable Objects Without Demonstrations Comprehensive Overview
Learning to Manipulate Deformable Objects without Demonstrations Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ... Real-world
Imitation Learning Based Path Generation for the Complex Assembly of Deformable Objects
Summary & Highlights for Learning To Manipulate Deformable Objects Without Demonstrations
- Title:
- Authors: Jan Matas, Stephen James and Andrew Davidson, Department of Computing, Imperial College London Contact: ...
- Prof. Jeannette Bohg Stanford University Title: Bridging Topology and Geometry in
- Paper title: A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control.
- The simulator here is used as a "black box." The method has
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