activity
20192022
most citedGuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming

119 citations · 150 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2022

Using Spectral Submanifolds for Nonlinear Periodic Control

Florian Mahlknecht, John Irvin Alora, Shobhit Jain +4

Very high dimensional nonlinear systems arise in many engineering problems due to semi-discretization of the governing partial differential equations, e.g. through finite element m…

math.OC20215 cited

Convex Optimization for Trajectory Generation

Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk +4

Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems of tomorrow. The goal of this article is to provide a comprehensive tut…

cs.RO2021

Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems

Andrew Bylard, Riccardo Bonalli, Marco Pavone

Despite decades of work in fast reactive planning and control, challenges remain in developing reactive motion policies on non-Euclidean manifolds and enforcing constraints while a…

math.OC201926 cited

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach

Riccardo Bonalli, Andrew Bylard, Abhishek Cauligi +2

Sequential Convex Programming (SCP) has recently gained popularity as a tool for trajectory optimization due to its sound theoretical properties and practical performance. Yet, mos…

math.OC2019119 cited

GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming

Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard +1

Sequential Convex Programming (SCP) has recently seen a surge of interest as a tool for trajectory optimization. However, most available methods lack rigorous performance guarantee…