Cover Image

LEARN: Learning End-to-End Aerial Resource-Constrained Multi-Robot Navigation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chiu, Darren, Huang, Zhehui, Ge, Ruohai, Sukhatme, Gaurav S.
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compositional Coordination for Multi-Robot Teams with Large Language Models
by: Huang, Zhehui, et al.
Published: (2025)

Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning
by: Huang, Zhehui, et al.
Published: (2023)

Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation
by: Sigal, Adam, et al.
Published: (2023)

Safe Human Robot Navigation in Warehouse Scenario
by: Farrell, Seth, et al.
Published: (2025)

Architecture for Multi-Unmanned Aerial Vehicles based Autonomous Precision Agriculture Systems
by: Temesgen, Ebasa, et al.
Published: (2026)

SAFE-GIL: SAFEty Guided Imitation Learning for Robotic Systems
by: Ciftci, Yusuf Umut, et al.
Published: (2024)

Curriculum Imitation Learning of Distributed Multi-Robot Policies
by: Roche, Jesús, et al.
Published: (2025)

CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems
by: Huang, Jiaxi, et al.
Published: (2025)

Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation
by: Gao, Zhan, et al.
Published: (2024)

Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation
by: Ellendula, Aditya Sai, et al.
Published: (2026)

Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning
by: Selmonaj, Ardian, et al.
Published: (2025)

World-Task Factorization for Robot Learning
by: Sebastián, Eduardo, et al.
Published: (2026)

JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
by: Jain, Shalin Anand, et al.
Published: (2025)

Cross-Modal Navigation with Multi-Agent Reinforcement Learning
by: Liu, Shuo, et al.
Published: (2026)

Debate2Create: Robot Co-design via Multi-Agent LLM Debate
by: Qiu, Kevin, et al.
Published: (2025)

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
by: Parada, Leandro, et al.
Published: (2024)

Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
by: Wang, Dawei, et al.
Published: (2023)

A Learning Framework For Cooperative Collision Avoidance of UAV Swarms Leveraging Domain Knowledge
by: Huang, Shuangyao, et al.
Published: (2025)

Prompting Robot Teams with Natural Language
by: Pfitzer, Nicolas, et al.
Published: (2025)

Decentralized Multi-Robot Relative Navigation in Unknown, Structurally Constrained Environments under Limited Communication
by: Mao, Zihao, et al.
Published: (2025)

Can Large Language Models Solve Robot Routing?
by: Huang, Zhehui, et al.
Published: (2024)

Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
by: Wu, Zixuan, et al.
Published: (2024)

Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
by: Wen, Ruoqi, et al.
Published: (2023)

Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
by: Haroon, Adam, et al.
Published: (2025)

Transformer-based Multi-agent Reinforcement Learning for Separation Assurance in Structured and Unstructured Airspaces
by: Aziz, Arsyi, et al.
Published: (2026)

Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
by: Chung, Jaehoon, et al.
Published: (2023)

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
by: Krnjaic, Aleksandar, et al.
Published: (2022)

SafeDiver: Cooperative AUV-USV Assisted Diver Communication via Multi-agent Reinforcement Learning Approach
by: Deng, Tinglong, et al.
Published: (2025)

Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots
by: Vendruscolo, Luca, et al.
Published: (2026)

MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
by: Ratnabala, Lavanya, et al.
Published: (2025)

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding
by: Jiang, He, et al.
Published: (2024)

Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies
by: Samak, Chinmay Vilas, et al.
Published: (2024)

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
by: Remy, Isaac, et al.
Published: (2026)

Signaling and Social Learning in Swarms of Robots
by: Cazenille, Leo, et al.
Published: (2024)

Diffusion Models for Multi-target Adversarial Tracking
by: Ye, Sean, et al.
Published: (2023)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)

Generalising Multi-Agent Cooperation through Task-Agnostic Communication
by: Jayalath, Dulhan, et al.
Published: (2024)

LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments
by: Gouru, Srikar, et al.
Published: (2024)

MAexp: A Generic Platform for RL-based Multi-Agent Exploration
by: Zhu, Shaohao, et al.
Published: (2024)

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
by: Nagpal, Kartik, et al.
Published: (2025)