Scalable Co-optimization of Collective Robotic Mobility and the Artificial Environment

Información del proyecto

gAIa

Identificador del acuerdo de subvención: 949940

DOI

10.3030/949940

Fecha de la firma de la CE 7 Octubre 2020

Fecha de inicio 1 Enero 2021

Fecha de finalización 30 Junio 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 495 338,00

Aportación de la UE

€ 1 495 338,00

Coordinado por

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Conference proceedings (12)

Environment Optimization for Multi-Agent Navigation

Autores: Zhan Gao, Amanda Prorok
Publicado en: International Conference on Robotics and Automation, 2023
Editor: IEEE
DOI: 10.48550/arxiv.2209.11279

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality

Autores: Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok
Publicado en: International Conference on Robotics and Automation 2023, 2023
Editor: ICRA 2023
DOI: 10.48550/arxiv.2301.08451

Heterogeneous Multi-Robot Reinforcement Learning

Autores: Matteo Bettini, Ajay Shankar, Amanda Prorok
Publicado en: International Conference on Autonomous Agents and Multiagent Systems, 2023
Editor: AAMAS 2023

VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning

Autores: Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
Publicado en: The 16th International Symposium on Distributed Autonomous Robotic Systems 2022, 2022
Editor: International Symposium on Distributed Autonomous Robotic Systems 2022

Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors

Autores: Steven Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok
Publicado en: Learning for Dynamics and Control Conference (L4DC), 2022, Página(s) 59-73
Editor: Proceedings of Machine Learning Research (PMLR)

A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies

Autores: Jan Blumenkamp; Steven Morad; Jennifer Gielis; Qingbiao Li; Amanda Prorok
Publicado en: IEEE International Conference on Robotics and Automation (ICRA), Edición 4, 2022, ISBN 978-1-7281-9681-7
Editor: IEEE International Conference on Robotics and Automation (ICRA)
DOI: 10.48550/arxiv.2111.01777

ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture

Autores: Ryan Kortvelesy; Amanda Prorok
Publicado en: IEEE International Conference on Robotics and Automation (ICRA), Edición 1, 2021, ISBN 978-1-7281-9077-8
Editor: IEEE
DOI: 10.1109/icra48506.2021.9561386

The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts

Autores: Prorok, Amanda; Blumenkamp, Jan; Li, Qingbiao; Kortvelesy, Ryan; Liu, Zhe; Stump, Ethan
Publicado en: Autonomous Agents and Multi-Agent Systems (AAMAS), Edición 3, 2022, ISBN 978-1-4503-9213-6
Editor: IFFAAMAS
DOI: 10.48550/arxiv.2107.12254

Graph Neural Network Guided Local Search for the Traveling Salesperson Problem

Autores: Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
Publicado en: International Conference on Learning Representations (ICLR), 2022
Editor: International Conference on Learning Representations (ICLR)

Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning

Autores: Ryan Kortvelesy, Steven Morad, Amanda Prorok
Publicado en: International Conference on Autonomous Agents and Multiagent Systems, 2023
Editor: AAMAS
DOI: 10.48550/arxiv.2302.12826

See What the Robot Can’t See: Learning Cooperative Perception for Visual Navigation

Autores: Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok
Publicado en: International Conference on Intelligent Robots and Systems, 2023
Editor: IEEE

Graph Convolutional Memory using Topological Priors

Autores: Steven Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok
Publicado en: Learning for Dynamics & Control Conference 2022, 2022
Editor: Learning for Dynamics & Control Conference
DOI: 10.48550/arXiv.2106.14117

Peer reviewed articles (4)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

Autores: Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok
Publicado en: IEEE Robotics and Automation Letters (R-AL), 2021, 2021, Página(s) 5533 - 5540, ISSN 2377-3766
Editor: IEEE

A Critical Review of Communications in Multi‑robot Systems

Autores: Jennifer Gielis, Ajay Shankar, Amanda Prorok
Publicado en: Current Robotics Reports, 2022, Página(s) 000-000000, ISSN 0000-0000
Editor: Springer
DOI: 10.1007/s43154-022-00090-9

Constrained Environment Optimization for Prioritized Multi-Agent Navigation

Autores: Zhan Gao and Amanda Prorok
Publicado en: IEEE Open Journal of Control Systems (OJ-CSYS), 2023, ISSN 2694-085X
Editor: IEEE

Explanation-Aware Experience Replay in Rule-Dense Environments

Autores: Francesco Sovrano; Alex Raymond; Amanda Prorok
Publicado en: IEEE Robotics and Automation Letters, Edición 3, 2021, ISSN 2377-3766
Editor: IEEE
DOI: 10.1109/lra.2021.3135927