5 citations · 5 across the 4 of their papers we have counts for
5 papers
A Non-Overlapping Schwarz Hybrid Finite Element-Neural Operator Framework for Solid Mechanics on Irregular Domains
Wei Wang, Abhinav Gupta, Haihui Ruan +1
Finite element (FE) methods are the benchmark for solid mechanics simulations, yet their computational cost becomes prohibitive for problems with localised nonlinearities, fine-sca…
Machine Learning Hamiltonian Dynamical Systems with Sparse and Noisy Data
Vedanta Thapar, Abhinav Gupta
Machine learning has become a powerful tool for discovering governing laws of dynamical systems from data. However, most existing approaches degrade severely when observations are…
1 Modular Parallel Manipulator for Long-Term Soft Robotic Data Collection
Kiyn Chin, Carmel Majidi, Abhinav Gupta
Performing long-term experimentation or large-scale data collection for machine learning in the field of soft robotics is challenging, due to the hardware robustness and experiment…
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation
Jared Mejia, Victoria Dean, Tess Hellebrekers +1
Although pre-training on a large amount of data is beneficial for robot learning, current paradigms only perform large-scale pretraining for visual representations, whereas represe…
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman +4
Reasoning from sequences of raw sensory data is a ubiquitous problem across fields ranging from medical devices to robotics. These problems often involve using long sequences of ra…