76 citations · 164 across the 14 of their papers we have counts for
4 papers · 1 filter
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Nico Gürtler, Felix Widmaier, Cansu Sancaktar +21
Experimentation on real robots is demanding in terms of time and costs. For this reason, a large part of the reinforcement learning (RL) community uses simulators to develop and be…
Low Voltage Electrohydraulic Actuators for Untethered Robotics
Stephan-Daniel Gravert, Elia Varini, Amirhossein Kazemipour +4
Rigid robots can be precise in repetitive tasks, but struggle in unstructured environments. Nature's versatility in such environments inspires researchers to develop biomimetic rob…
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
Levi Lingsch, Mike Y. Michelis, Emmanuel de Bezenac +3
The computational efficiency of many neural operators, widely used for learning solutions of PDEs, relies on the fast Fourier transform (FFT) for performing spectral computations.…
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications
Jeong Hun Lee, Mike Y. Michelis, Robert Katzschmann +1
We present Aquarium, a differentiable fluid-structure interaction solver for robotics that offers stable simulation, accurately coupled fluid-robot physics in two dimensions, and f…