activity
20202026
most citedGCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control

41 citations · 62 across the 32 of their papers we have counts for

collaborators
Showing math.OCShow all

10 papers · 1 filter

math.OC2026

Maximizing Reach-Avoid Probabilities for Linear Stochastic Systems via Control Architectures

Niklas Schmid, Jaeyoun Choi, Oswin So +1

The maximization of reach-avoid probabilities for stochastic systems is a central topic in the control literature. Yet, the available methods are either restricted to low-dimension…

math.OC2024★ 5 cited

Safety on the Fly: Constructing Robust Safety Filters via Policy Control Barrier Functions at Runtime

Luzia Knoedler, Oswin So, Ji Yin +5

Control Barrier Functions (CBFs) have proven to be an effective tool for performing safe control synthesis for nonlinear systems. However, guaranteeing safety in the presence of di…

math.OC2024

Second-Order Constrained Dynamic Optimization

Yuichiro Aoyama, Oswin So, Augustinos D. Saravanos +1

This paper provides an overview, analysis, and comparison of second-order dynamic optimization algorithms, i.e., constrained Differential Dynamic Programming (DDP) and Sequential Q…

math.OC2023★ 4 cited

Almost-Sure Safety Guarantees of Stochastic Zero-Control Barrier Functions Do Not Hold

Oswin So, Andrew Clark, Chuchu Fan

The 2021 paper "Control barrier functions for stochastic systems" provides theorems that give almost sure safety guarantees given stochastic zero control barrier function (ZCBF). U…

math.OC2023

How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems

Oswin So, Zachary Serlin, Makai Mann +4

Control barrier functions (CBF) have become popular as a safety filter to guarantee the safety of nonlinear dynamical systems for arbitrary inputs. However, it is difficult to cons…

math.OC2022★ 1 cited

Sampling-Based Optimization for Multi-Agent Model Predictive Control

Ziyi Wang, Augustinos D. Saravanos, Hassan Almubarak +2

We systematically review the Variational Optimization, Variational Inference and Stochastic Search perspectives on sampling-based dynamic optimization and discuss their connections…

math.OC2022★ 3 cited

Multimodal Maximum Entropy Dynamic Games

Oswin So, Kyle Stachowicz, Evangelos A. Theodorou

Environments with multi-agent interactions often result a rich set of modalities of behavior between agents due to the inherent suboptimality of decision making processes when agen…

math.OC2021★ 1 cited

Maximum Entropy Differential Dynamic Programming

Oswin So, Ziyi Wang, Evangelos A. Theodorou

In this paper, we present a novel maximum entropy formulation of the Differential Dynamic Programming algorithm and derive two variants using unimodal and multimodal value function…

math.OC2021

Spatio-Temporal Differential Dynamic Programming for Control of Fields

Ethan N. Evans, Oswin So, Andrew P. Kendall +2

We consider the optimal control problem of a general nonlinear spatio-temporal system described by Partial Differential Equations (PDEs). Theory and algorithms for control of spati…

math.OC2020★ 1 cited

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search

Ziyi Wang, Oswin So, Keuntaek Lee +2

We present a general framework for optimizing the Conditional Value-at-Risk for dynamical systems using stochastic search. The framework is capable of handling the uncertainty from…