10 citations · 32 across the 22 of their papers we have counts for
3 papers · 1 filter
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation
Thomas Lew, Apoorva Sharma, James Harrison +2
We identify an issue in recent approaches to learning-based control that reformulate systems with uncertain dynamics using a stochastic differential equation. Specifically, we disc…
Particle MPC for Uncertain and Learning-Based Control
Robert Dyro, James Harrison, Apoorva Sharma +1
As robotic systems move from highly structured environments to open worlds, incorporating uncertainty from dynamics learning or state estimation into the control pipeline is essent…
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks
Apoorva Sharma, Navid Azizan, Marco Pavone
In order to safely deploy Deep Neural Networks (DNNs) within the perception pipelines of real-time decision making systems, there is a need for safeguards that can detect out-of-tr…