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Found 4 papers, 0 papers with code
PokeFlex: A Real-World Dataset of Deformable Objects for Robotics
Using different data modalities, we demonstrated a use case for the PokeFlex dataset in online 3D mesh reconstruction.
RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion
These reference motions serve as targets for the RL policy to imitate, leading to the development of robust control policies that can be learned with reliability.
Gradient-Based Trajectory Optimization With Learned Dynamics
In our hardware experiments, we demonstrate that our learned model can represent complex dynamics for both the Spot and Radio-controlled (RC) car, and gives good performance in combination with trajectory optimization methods.
Learning Solution Manifolds for Control Problems via Energy Minimization
We formulate the learning of solution manifolds as a minimization of the energy terms of a control objective integrated over the space of problems of interest.
