activity
20232025
most citedSafety on the Fly: Constructing Robust Safety Filters via Policy Control Barrier Functions at Runtime

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

PRISM: Complete Online Decentralized Multi-Agent Pathfinding with Rapid Information Sharing using Motion Constraints

Hannah Lee, Zachary Serlin, James Motes +3

We introduce PRISM (Pathfinding with Rapid Information Sharing using Motion Constraints), a decentralized algorithm designed to address the multi-task multi-agent pathfinding (MT-M…

cs.RO2025

Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL

Songyuan Zhang, Oswin So, Mitchell Black +2

Tasks for multi-robot systems often require the robots to collaborate and complete a team goal while maintaining safety. This problem is usually formalized as a constrained Markov…

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…

cs.RO2024

Evaluating Collaborative Autonomy in Opposed Environments using Maritime Capture-the-Flag Competitions

Jordan Beason, Michael Novitzky, John Kliem +9

The objective of this work is to evaluate multi-agent artificial intelligence methods when deployed on teams of unmanned surface vehicles (USV) in an adversarial environment. Auton…

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…