16 citations · 52 across the 16 of their papers we have counts for
4 papers · 1 filter
Learning-based Nonlinear Model Predictive Control of Articulated Soft Robots using Recurrent Neural Networks
Hendrik Schäfke, Tim-Lukas Habich, Christian Muhmann +3
Soft robots pose difficulties in terms of control, requiring novel strategies to effectively manipulate their compliant structures. Model-based approaches face challenges due to th…
Towards Optimized Parallel Robots for Human-Robot Collaboration by Combined Structural and Dimensional Synthesis
Aran Mohammad, Thomas Seel, Moritz Schappler
Parallel robots (PR) offer potential for human-robot collaboration (HRC) due to their lower moving masses and higher speeds. However, the parallel leg chains increase the risks of…
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems
Henrik Krauss, Tim-Lukas Habich, Max Bartholdt +2
Physics-informed neural networks (PINNs) are trained using physical equations and can also incorporate unmodeled effects by learning from data. PINNs for control (PINCs) of dynamic…
SPONGE: Open-Source Designs of Modular Articulated Soft Robots
Tim-Lukas Habich, Jonas Haack, Mehdi Belhadj +3
Soft-robot designs are manifold, but only a few are publicly available. Often, these are only briefly described in their publications. This complicates reproduction, and hinders th…