8 citations · 16 across the 22 of their papers we have counts for
6 papers · 1 filter
Enhancing Robotic System Robustness via Lyapunov Exponent-Based Optimization
G. Fadini, S. Coros
We present a novel approach to quantifying and optimizing stability in robotic systems based on the Lyapunov exponents addressing an open challenge in the field of robot analysis,…
PokeFlex: A Real-World Dataset of Volumetric Deformable Objects for Robotics
Jan Obrist, Miguel Zamora, Hehui Zheng +5
Data-driven methods have shown great potential in solving challenging manipulation tasks; however, their application in the domain of deformable objects has been constrained, in pa…
Modal Folding: Discovering Smooth Folding Patterns for Sheet Materials using Strain-Space Modes
Pengbin Tang, Ronan Hinchet, Roi Poranne +2
Folding can transform mundane objects such as napkins into stunning works of art. However, finding new folding transformations for sheet materials is a challenging problem that req…
Differentiable Voronoi Diagrams for Simulation of Cell-Based Mechanical Systems
Logan Numerow, Yue Li, Stelian Coros +1
Navigating topological transitions in cellular mechanical systems is a significant challenge for existing simulation methods. While abstract models lack predictive capabilities at…
Differentiable Geodesic Distance for Intrinsic Minimization on Triangle Meshes
Yue Li, Logan Numerow, Bernhard Thomaszewski +1
Computing intrinsic distances on discrete surfaces is at the heart of many minimization problems in geometry processing and beyond. Solving these problems is extremely challenging…
Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
Jiahong Wang, Yinwei Du, Stelian Coros +1
We propose a self-supervised approach for learning physics-based subspaces for real-time simulation. Existing learning-based methods construct subspaces by approximating pre-define…