Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation

17 October 2022

Papers citing "Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation"

10 / 10 papers shown

Title
Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders Yue Meng Nathalie Majcherczyk Wenliang Liu Scott Kiesel Chuchu Fan Federico Pecora GNN 74 0 0 04 Mar 2025
Estimating Control Barriers from Offline Data Hongzhan Yu Seth Farrell Ryo Yoshimitsu Zhizhen Qin Henrik I. Christensen Sicun Gao OffRL 50 3 0 21 Feb 2025
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control Songyuan Zhang Oswin So Kunal Garg Chuchu Fan AI4CE 33 22 0 25 Jan 2024
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization Juntong Peng Hrishikesh Viswanath Kshitij Tiwari Aniket Bera 55 7 0 16 Sep 2023
Online Control Barrier Functions for Decentralized Multi-Agent Navigation Zhan Gao Guangtao Yang Amanda Prorok 34 15 0 08 Mar 2023
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality Chenning Yu Qingbiao Li Sicun Gao Amanda Prorok 32 6 0 20 Jan 2023
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 112 172 0 14 Sep 2021
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions Guanya Shi Wolfgang Hönig Yisong Yue Soon-Jo Chung 53 65 0 06 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,087 0 02 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016