3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 1 cited
Simultaneous Learning of Contact and Continuous Dynamics
Bibit Bianchini, Mathew Halm, Michael Posa
Robotic manipulation can greatly benefit from the data efficiency, robustness, and predictability of model-based methods if robots can quickly generate models of novel objects they…
cs.LG2021
Learning Linear Complementarity Systems
Wanxin Jin, Alp Aydinoglu, Mathew Halm +1
This paper investigates the learning, or system identification, of a class of piecewise-affine dynamical systems known as linear complementarity systems (LCSs). We propose a violat…
cs.RO2021★ 3 cited
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions
Bibit Bianchini, Mathew Halm, Nikolai Matni +1
Inspired by recent strides in empirical efficacy of implicit learning in many robotics tasks, we seek to understand the theoretical benefits of implicit formulations in the face of…