8 citations · 8 across the 1 of their papers we have counts for
3 papers
cs.MS2021★ 8 cited
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations
Kirill Zubov, Zoe McCarthy, Yingbo Ma +11
Physics-informed neural networks (PINNs) are an increasingly powerful way to solve partial differential equations, generate digital twins, and create neural surrogates of physical…
cs.RO2019
Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation
David V. Gealy, Stephen McKinley, Brent Yi +10
Robots must cost less and be force-controlled to enable widespread, safe deployment in unconstrained human environments. We propose Quasi-Direct Drive actuation as a capable paradi…
cs.RO2017
Probabilistically Safe Policy Transfer
David Held, Zoe McCarthy, Michael Zhang +2
Although learning-based methods have great potential for robotics, one concern is that a robot that updates its parameters might cause large amounts of damage before it learns the…