hGCBF: Heterogeneous Graph Control Barrier Functions for Safe Multi-Agent Systems

Provable safety remains a critical challenge for heterogeneous multi-agent systems (MASs), where differences in dynamics, state/action spaces, and sensing capabilities compromise existing learning-based methods that assume system homogeneity. To address this gap, we propose the heterogeneous Graph C...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Zhibo Yang, Junwei Liu, Zhuohan Li, Wei Zhang
Format:	Article
Language:	English
Published:	IEEE 2026-01-01
Subjects:	Multi-agent systems distributed control graph neural network heterogeneous networks machine learning
Online Access:	https://ieeexplore.ieee.org/document/11421644/