Cover Image

Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Chengyang, Camps, Gadiel Sznaier, Liu, Xu, Schwager, Mac, Sartoretti, Guillaume
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives
by: He, Chengyang, et al.
Published: (2025)

Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting
by: Swann, Aiden, et al.
Published: (2024)

OA-MPC: Occlusion-Aware MPC for Guaranteed Safe Robot Navigation with Unseen Dynamic Obstacles
by: Firoozi, Roya, et al.
Published: (2022)

FALCON: Actively Decoupled Visuomotor Policies for Loco-Manipulation with Foundation-Model-Based Coordination
by: He, Chengyang, et al.
Published: (2025)

Social Behavior as a Key to Learning-based Multi-Agent Pathfinding Dilemmas
by: He, Chengyang, et al.
Published: (2024)

COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network
by: Zhang, Xingjian, et al.
Published: (2025)

Real-Time Adaptive Motion Planning via Point Cloud-Guided, Energy-Based Diffusion and Potential Fields
by: Teshome, Wondmgezahu, et al.
Published: (2025)

SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
by: Liao, Shuhao, et al.
Published: (2025)

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation
by: Huang, Suning, et al.
Published: (2025)

DARE: Diffusion Policy for Autonomous Robot Exploration
by: Cao, Yuhong, et al.
Published: (2024)

CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2026)

AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
by: Lew, Jeric, et al.
Published: (2025)

SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
by: Chen, Qianzhong, et al.
Published: (2025)

SketchPlan: Diffusion Based Drone Planning From Human Sketches
by: Norelius, Sixten, et al.
Published: (2025)

HAMMER: Heterogeneous, Multi-Robot Semantic Gaussian Splatting
by: Yu, Javier, et al.
Published: (2025)

CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes
by: Chen, Timothy, et al.
Published: (2023)

GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
by: Ni, Haozhan, et al.
Published: (2025)

REACT: Environment-Adaptive Architecture for Continuous Formation Navigation of Wheeled Mobile Robots
by: Dong, Jianghong, et al.
Published: (2026)

DecAP: Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies
by: Sood, Shivam, et al.
Published: (2023)

LNS2+RL: Combining Multi-Agent Reinforcement Learning with Large Neighborhood Search in Multi-Agent Path Finding
by: Wang, Yutong, et al.
Published: (2024)

Semantic-Metric Bayesian Risk Fields: Learning Robot Safety from Human Videos with a VLM Prior
by: Chen, Timothy, et al.
Published: (2025)

Decentralized Real-Time Planning for Multi-UAV Cooperative Manipulation via Imitation Learning
by: Agarwal, Shantnav, et al.
Published: (2025)

Latent Action Diffusion for Cross-Embodiment Manipulation
by: Bauer, Erik, et al.
Published: (2025)

Phys2Real: Fusing VLM Priors with Interactive Online Adaptation for Uncertainty-Aware Sim-to-Real Manipulation
by: Wang, Maggie, et al.
Published: (2025)

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction
by: Wang, Yizhuo, et al.
Published: (2025)

D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation
by: Wei, Songlin, et al.
Published: (2024)

Learning-based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion
by: Sun, Ge, et al.
Published: (2024)

Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems
by: Vincent, Joseph A., et al.
Published: (2022)

Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles
by: Contreras, Jose Leopoldo, et al.
Published: (2024)

$π$, But Make It Fly: Physics-Guided Transfer of VLA Models to Aerial Manipulation
by: Tucker, Johnathan, et al.
Published: (2026)

ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation
by: Zhang, Shizhe, et al.
Published: (2026)

Distributed Optimization Methods for Multi-Robot Systems: Part I -- A Tutorial
by: Shorinwa, Ola, et al.
Published: (2023)

Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey
by: Shorinwa, Ola, et al.
Published: (2023)

GazeVLA: Learning Human Intention for Robotic Manipulation
by: Li, Chengyang, et al.
Published: (2026)

SINGER: An Onboard Generalist Vision-Language Navigation Policy for Drones
by: Adang, Maximilian, et al.
Published: (2025)

Attention-based Learning for 3D Informative Path Planning
by: Zhao, Rui, et al.
Published: (2025)

Deep Reinforcement Learning-based Large-scale Robot Exploration
by: Cao, Yuhong, et al.
Published: (2024)

HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks
by: Liang, Jingsong, et al.
Published: (2024)

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2026)

Guarantees on Robot System Performance Using Stochastic Simulation Rollouts
by: Vincent, Joseph A., et al.
Published: (2023)