activity
20192023
most citedA Differentiable Signed Distance Representation for Continuous Collision Avoidance in Optimization-Based Motion Planning

8 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 8 cited

A Differentiable Signed Distance Representation for Continuous Collision Avoidance in Optimization-Based Motion Planning

James Guthrie

This paper proposes a new set of conditions for exactly representing collision avoidance constraints within optimization-based motion planning algorithms. The conditions are contin…

eess.SY2022★ 1 cited

Closed-Form Minkowski Sum Approximations for Efficient Optimization-Based Collision Avoidance

James Guthrie, Marin Kobilarov, Enrique Mallada

Motion planning methods for autonomous systems based on nonlinear programming offer great flexibility in incorporating various dynamics, objectives, and constraints. One limitation…

math.OC2022

Inner and Outer Approximations of Star-Convex Semialgebraic Sets

James Guthrie

We consider the problem of approximating a semialgebraic set with a sublevel-set of a polynomial function. In this setting, it is standard to seek a minimum volume outer approximat…

math.OC2021★ 1 cited

Inner Approximations of the Positive-Semidefinite Cone via Grassmannian Packings

Tianqi Zheng, James Guthrie, Enrique Mallada

We investigate the problem of finding inner ap-proximations of positive semidefinite (PSD) cones. We developa novel decomposition framework of the PSD cone by meansof conical combi…

math.OC2019

Adversarial Model Predictive Control via Second-Order Cone Programming

James Guthrie, Enrique Mallada

We study the problem of designing attacks to safety-critical systems in which the adversary seeks to maximize the overall system cost within a model predictive control framework. A…