Image de couverture de livre

Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vendruscolo, Luca, Sebastián, Eduardo, Prorok, Amanda, Shankar, Ajay
Format:	Preprint
Publié:	2026
Sujets:	Robotics Machine Learning Multiagent Systems
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Prompting Robot Teams with Natural Language
par: Pfitzer, Nicolas, et autres
Publié: (2025)

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
par: Bettini, Matteo, et autres
Publié: (2023)

LF: Online Multi-Robot Path Planning Meets Optimal Trajectory Control
par: Shankar, Ajay, et autres
Publié: (2025)

World-Task Factorization for Robot Learning
par: Sebastián, Eduardo, et autres
Publié: (2026)

The Cambridge RoboMaster: An Agile Multi-Robot Research Platform
par: Blumenkamp, Jan, et autres
Publié: (2024)

Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation
par: Gao, Zhan, et autres
Publié: (2024)

Generalising Multi-Agent Cooperation through Task-Agnostic Communication
par: Jayalath, Dulhan, et autres
Publié: (2024)

Generalized Intention Modeling in Multi-Agent Reinforcement Learning
par: Odrowaz-Sypniewski, Mateusz, et autres
Publié: (2026)

Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
par: Bettini, Matteo, et autres
Publié: (2024)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
par: Li, Qingbiao, et autres
Publié: (2020)

Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
par: Jain, Rishabh, et autres
Publié: (2025)

Curriculum Imitation Learning of Distributed Multi-Robot Policies
par: Roche, Jesús, et autres
Publié: (2025)

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
par: Büchi, Hannes, et autres
Publié: (2026)

CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications
par: Blumenkamp, Jan, et autres
Publié: (2024)

Differentiable Environment-Trajectory Co-Optimization for Safe Multi-Agent Navigation
par: Gao, Zhan, et autres
Publié: (2026)

Safe Human Robot Navigation in Warehouse Scenario
par: Farrell, Seth, et autres
Publié: (2025)

Emergence of Roles in Robotic Teams with Model Sharing and Limited Communication
par: O'Flynn, Ian, et autres
Publié: (2025)

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
par: Amir, Michael, et autres
Publié: (2025)

JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
par: Jain, Shalin Anand, et autres
Publié: (2025)

Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation
par: Sigal, Adam, et autres
Publié: (2023)

LEARN: Learning End-to-End Aerial Resource-Constrained Multi-Robot Navigation
par: Chiu, Darren, et autres
Publié: (2025)

Multi-Agent Coordination in Autonomous Vehicle Routing: A Simulation-Based Study of Communication, Memory, and Routing Loops
par: Saifullah, KM Khalid, et autres
Publié: (2025)

Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
par: Wang, Dawei, et autres
Publié: (2023)

Debate2Create: Robot Co-design via Multi-Agent LLM Debate
par: Qiu, Kevin, et autres
Publié: (2025)

CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems
par: Huang, Jiaxi, et autres
Publié: (2025)

Scaling Multi-Agent Environment Co-Design with Diffusion Models
par: Li, Hao Xiang, et autres
Publié: (2025)

Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks
par: Serra, Jordi, et autres
Publié: (2025)

Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
par: Haroon, Adam, et autres
Publié: (2025)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
par: Bettini, Matteo, et autres
Publié: (2023)

The impact of behavioral diversity in multi-agent reinforcement learning
par: Bettini, Matteo, et autres
Publié: (2024)

When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
par: Amir, Michael, et autres
Publié: (2025)

Diffusion Models for Multi-target Adversarial Tracking
par: Ye, Sean, et autres
Publié: (2023)

Compositional Coordination for Multi-Robot Teams with Large Language Models
par: Huang, Zhehui, et autres
Publié: (2025)

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
par: Nagpal, Kartik, et autres
Publié: (2025)

InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions
par: Kedia, Kushal, et autres
Publié: (2023)

A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms
par: Mokhtarian, Armin, et autres
Publié: (2024)

DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems
par: Bird, Joshua, et autres
Publié: (2025)

Signaling and Social Learning in Swarms of Robots
par: Cazenille, Leo, et autres
Publié: (2024)

Architecture for Multi-Unmanned Aerial Vehicles based Autonomous Precision Agriculture Systems
par: Temesgen, Ebasa, et autres
Publié: (2026)

The Alignment Flywheel: A Governance-Centric Hybrid MAS for Architecture-Agnostic Safety
par: Malomgré, Elias, et autres
Publié: (2026)