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20192026
most citedTrajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach

26 citations · 91 across the 20 of their papers we have counts for

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eess.SY2022★ 5 cited

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings

Adam J. Thorpe, Thomas Lew, Meeko M. K. Oishi +1

We present a data-driven algorithm for efficiently computing stochastic control policies for general joint chance constrained optimal control problems. Our approach leverages the t…

eess.SY2021★ 3 cited

A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis

Thomas Lew, Lucas Janson, Riccardo Bonalli +1

In this work, we analyze an efficient sampling-based algorithm for general-purpose reachability analysis, which remains a notoriously challenging problem with applications ranging…

eess.SY2021★ 2 cited

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…

eess.SY2021

Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC

Jan Schilliger, Thomas Lew, Spencer M. Richards +3

Tractable safety-ensuring algorithms for cyber-physical systems are important in critical applications. Approaches based on Control Barrier Functions assume continuous enforcement,…

eess.SY2020★ 16 cited

Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling

Thomas Lew, Marco Pavone

Reachability analysis is at the core of many applications, from neural network verification, to safe trajectory planning of uncertain systems. However, this problem is notoriously…