Cover Image

Physical Simulation for Multi-agent Multi-machine Tending

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abdalwhab, Abdalwhab, Beltrame, Giovanni, St-Onge, David
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Multi-agent Multi-machine Tending by Mobile Robots
by: Abdalwhab, Abdalwhab, et al.
Published: (2024)

Are Open-Vocabulary Models Ready for Detection of MEP Elements on Construction Sites
by: Abdalwhab, Abdalwhab, et al.
Published: (2025)

From the Lab to the Theater: An Unconventional Field Robotics Journey
by: Imran, Ali, et al.
Published: (2024)

Reinforcement Learning with Elastic Time Steps
by: Wang, Dong, et al.
Published: (2024)

MOSEAC: Streamlined Variable Time Step Reinforcement Learning
by: Wang, Dong, et al.
Published: (2024)

GNN-based Decentralized Perception in Multirobot Systems for Predicting Worker Actions
by: Imran, Ali, et al.
Published: (2025)

Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
by: Guerrier, Maeva, et al.
Published: (2026)

Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning
by: Guerrier, Maeva, et al.
Published: (2025)

Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
by: Guerrier, Maeva, et al.
Published: (2024)

MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
by: Chen, Xi, et al.
Published: (2024)

Multi-agent Coordination via Flow Matching
by: Lee, Dongsu, et al.
Published: (2025)

Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models
by: Shaffer, Benjamin, et al.
Published: (2025)

A Recipe for Stable Offline Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2026)

Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL)
by: Robertshaw, Harry, et al.
Published: (2026)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)

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

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

Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
by: Tang, Huijie, et al.
Published: (2024)

Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2026)

PhysVarMix: Physics-Informed Variational Mixture Model for Multi-Modal Trajectory Prediction
by: Li, Haichuan, et al.
Published: (2025)

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps
by: Lundell, Jens, et al.
Published: (2020)

Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution
by: Munn, Humphrey, et al.
Published: (2025)

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

Single-Shot Learning of Stable Dynamical Systems for Long-Horizon Manipulation Tasks
by: St-Aubin, Alexandre, et al.
Published: (2024)

Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success
by: Wang, Che, et al.
Published: (2025)

Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
by: Wang, Xian, et al.
Published: (2024)

Multi-Task Reinforcement Learning for Quadrotors
by: Xing, Jiaxu, et al.
Published: (2024)

ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models
by: Wei, Jiarong, et al.
Published: (2025)

Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
by: Zhang, Songyuan, et al.
Published: (2025)

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning
by: Tang, Xin, et al.
Published: (2025)

Multi-Objective Trajectory Planning with Dual-Encoder
by: Zhang, Beibei, et al.
Published: (2024)

Active Fine-Tuning of Multi-Task Policies
by: Bagatella, Marco, et al.
Published: (2024)

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation
by: Chiu, Yi-Hung, et al.
Published: (2024)

MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic Robotics
by: Bergmann, Lara, et al.
Published: (2025)

General agents contain world models
by: Richens, Jonathan, et al.
Published: (2025)

Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators
by: Baumeister, Fabian, et al.
Published: (2024)

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
by: Chen, Runfa, et al.
Published: (2024)

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization
by: Bohlinger, Nico, et al.
Published: (2025)

SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control
by: Zhang, Jingyan, et al.
Published: (2026)

LIMT: Language-Informed Multi-Task Visual World Models
by: Aljalbout, Elie, et al.
Published: (2024)