Deformable Object Manipulation
13 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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Most implemented papers
Imitation Learning via Differentiable Physics
With the physics prior, ILD policies can not only be transferable to unseen environment specifications but also yield higher final performance on a variety of tasks.
Learning Deformable Object Manipulation from Expert Demonstrations
We test DMfD on a set of representative manipulation tasks for a 1-dimensional rope and a 2-dimensional cloth from the SoftGym suite of tasks, each with state and image observations.
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
The development of fast and safe approximate NMPC holds the potential to accelerate the adoption of flexible robots in industry.