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Found 5 papers, 2 papers with code
Benchmarking the Sim-to-Real Gap in Cloth Manipulation
The dataset is collected by performing a dynamic as well as a quasi-static cloth manipulation task involving contact with a rigid table.
QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation
To address this challenge, we introduce the Quasi-Dynamic Parameterisable (QDP) method, which optimises parameters such as the motion velocity in addition to the pick and place positions of quasi-static and dynamic manipulation primitives.
Co-Imitation: Learning Design and Behaviour by Imitation
To this end we propose a co-imitation methodology for adapting behaviour and morphology by matching state distributions of the demonstrator.
Manipulation of Granular Materials by Learning Particle Interactions
In this paper, we propose to use a graph-based representation to model the interaction dynamics of the material and rigid bodies manipulating it.
Evolving-Graph Gaussian Processes
Graph Gaussian Processes (GGPs) provide a data-efficient solution on graph structured domains.
