Imagen de Portada

Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Choi, Myong-Yol, Ko, Hankyoul, Cho, Hanse, Kim, Changseung, Kim, Seunghwan, Seo, Jaemin, Oh, Hyondong
Formato:	Preprint
Publicado:	2026
Materias:	Robotics Artificial Intelligence Machine Learning Multiagent Systems
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks
por: Seo, Jaemin, et al.
Publicado: (2025)

RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation
por: Kim, Minwoo, et al.
Publicado: (2025)

Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction
por: Kim, Seunghwan, et al.
Publicado: (2024)

Cooperative UAVs for Remote Data Collection under Limited Communications: An Asynchronous Multiagent Learning Framework
por: Le, Cuong, et al.
Publicado: (2026)

An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting
por: John, Josy, et al.
Publicado: (2022)

Reasoning-Native Agentic Communication for 6G
por: Seo, Hyowoon, et al.
Publicado: (2026)

Strategic Sacrifice: Self-Organized Robot Swarm Localization for Inspection Productivity
por: Ramshanker, Sneha, et al.
Publicado: (2024)

Prism: Spectral Parameter Sharing for Multi-Agent Reinforcement Learning
por: Kim, Kyungbeom, et al.
Publicado: (2026)

Behavior Modeling for Training-free Building of Private Domain Multi Agent System
por: Cho, Won Ik, et al.
Publicado: (2025)

Design and Identification of Keypoint Patches in Unstructured Environments
por: Park, Taewook, et al.
Publicado: (2024)

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

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
por: Oh, Dahyun, et al.
Publicado: (2026)

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning
por: Lee, Min Whoo, et al.
Publicado: (2025)

EKF-Based Radar-Inertial Odometry with Online Temporal Calibration
por: Kim, Changseung, et al.
Publicado: (2025)

U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks
por: Feng, Tongtong, et al.
Publicado: (2025)

Swarm Self Clustering for Communication denied Environments without Global Positioning
por: Jain, Sweksha, et al.
Publicado: (2023)

Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
por: Kim, Hyeonjun, et al.
Publicado: (2025)

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms
por: Wang, Ziyao, et al.
Publicado: (2025)

Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
por: Kim, Hyunsung, et al.
Publicado: (2025)

MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep Reinforcement Learning
por: Aschu, Demetros, et al.
Publicado: (2024)

Doppler Correspondence: Non-Iterative Scan Matching With Doppler Velocity-Based Correspondence
por: Kim, Jiwoo, et al.
Publicado: (2025)

Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards
por: Freymuth, Niklas, et al.
Publicado: (2024)

Breaking the Pre-Planning Barrier: Adaptive Real-Time Coordination of Heterogeneous UAVs
por: Hu, Yuhan, et al.
Publicado: (2025)

Collaborative Scheduling of Time-dependent UAVs,Vehicles and Workers for Crowdsensing in Disaster Response
por: Han, Lei, et al.
Publicado: (2025)

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems
por: Cho, Seunghyuk, et al.
Publicado: (2026)

SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer
por: Ding, Kang, et al.
Publicado: (2025)

Optimization of Flying Ad Hoc Network Topology and Collaborative Path Planning for Multiple UAVs
por: He, Ming, et al.
Publicado: (2025)

Multi-UAVs end-to-end Distributed Trajectory Generation over Point Cloud Data
por: Marino, Antonio, et al.
Publicado: (2024)

Practical Distributed Control for VTOL UAVs to Pass a Virtual Tube
por: Quan, Quan, et al.
Publicado: (2021)

Steady-State Strategy Synthesis for Swarms of Autonomous Agents
por: Jonáš, Martin, et al.
Publicado: (2025)

Distributed and Decentralized Control and Task Allocation for Flexible Swarms
por: Koifman, Yigal, et al.
Publicado: (2024)

Swarming Without an Anchor (SWA): Robot Swarms Adapt Better to Localization Dropouts Then a Single Robot
por: Horyna, Jiri, et al.
Publicado: (2025)

An Arbitration Control for an Ensemble of Diversified DQN variants in Continual Reinforcement Learning
por: Jang, Wonseo, et al.
Publicado: (2025)

LLMDR: LLM-Driven Deadlock Detection and Resolution in Multi-Agent Pathfinding
por: Seo, Seungbae, et al.
Publicado: (2025)

SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence
por: Zhang, Yao, et al.
Publicado: (2025)

Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
por: Choi, Han-Jun, et al.
Publicado: (2024)

Benchmarking LLMs' Swarm intelligence
por: Ruan, Kai, et al.
Publicado: (2025)

Collective AI can amplify tiny perturbations into divergent decisions
por: Shimao, Hajime, et al.
Publicado: (2026)

Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning
por: McClusky, Ben
Publicado: (2024)

Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
por: Zhang, Xinren, et al.
Publicado: (2025)