Image de couverture de livre

H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Jinbang, Chen, Wenyuan, Li, Zhiyuan, Pang, Oscar, Hu, Xiao, Zhang, Lingfeng, Hu, Yuanzhao, Zhang, Zhanguang, Coates, Mark, Cao, Tongtong, Quan, Xingyue, Zhang, Yingxue
Format:	Preprint
Publié:	2026
Sujets:	Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation
par: Huang, Jinbang, et autres
Publié: (2025)

One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration
par: Huang, Jinbang, et autres
Publié: (2025)

SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning
par: Liu, Yuecheng, et autres
Publié: (2025)

ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models
par: Zhang, Lingfeng, et autres
Publié: (2024)

HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
par: Cotnareanu, Joseph, et autres
Publié: (2024)

Do World Action Models Generalize Better than VLAs? A Robustness Study
par: Zhang, Zhanguang, et autres
Publié: (2026)

OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
par: Liu, Yuecheng, et autres
Publié: (2025)

Automated Planning Domain Inference for Task and Motion Planning
par: Huang, Jinbang, et autres
Publié: (2024)

FEval-TTC: Fair Evaluation Protocol for Test-Time Compute
par: Rumiantsev, Pavel, et autres
Publié: (2025)

Refining Answer Distributions for Improved Large Language Model Reasoning
par: Pal, Soumyasundar, et autres
Publié: (2024)

A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
par: Cotnareanu, Joseph, et autres
Publié: (2026)

Personalized Negative Reservoir for Incremental Learning in Recommender Systems
par: Valkanas, Antonios, et autres
Publié: (2024)

PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
par: Li, Wenxuan, et autres
Publié: (2025)

Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation
par: Zhang, Lingfeng, et autres
Publié: (2025)

AdaWM: Adaptive World Model based Planning for Autonomous Driving
par: Wang, Hang, et autres
Publié: (2025)

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training
par: Li, Yaxuan, et autres
Publié: (2026)

Multi-resolution Time-Series Transformer for Long-term Forecasting
par: Zhang, Yitian, et autres
Publié: (2023)

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
par: Zhang, Zhanguang, et autres
Publié: (2024)

Sparse Decomposition of Graph Neural Networks
par: Hu, Yaochen, et autres
Publié: (2024)

Uncertainty-Aware Gaussian Map for Vision-Language Navigation
par: Gao, Jianzhe, et autres
Publié: (2026)

DyG2Vec: Efficient Representation Learning for Dynamic Graphs
par: Alomrani, Mohammad Ali, et autres
Publié: (2022)

iMoWM: Taming Interactive Multi-Modal World Model for Robotic Manipulation
par: Zhang, Chuanrui, et autres
Publié: (2025)

LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation
par: Huang, Yuhang, et autres
Publié: (2025)

When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation
par: Aghaei, Matin, et autres
Publié: (2025)

E2ESlack: An End-to-End Graph-Based Framework for Pre-Routing Slack Prediction
par: Bodhe, Saurabh, et autres
Publié: (2025)

Beyond Task and Motion Planning: Hierarchical Robot Planning with General-Purpose Skills
par: Hedegaard, Benned, et autres
Publié: (2025)

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference
par: Pal, Soumyasundar, et autres
Publié: (2025)

C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
par: Valkanas, Antonios, et autres
Publié: (2025)

InnerThoughts: Disentangling Representations and Predictions in Large Language Models
par: Chételat, Didier, et autres
Publié: (2025)

LLM-Grounded Dynamic Task Planning with Hierarchical Temporal Logic for Human-Aware Multi-Robot Collaboration
par: Hu, Shuyuan, et autres
Publié: (2026)

InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation
par: Faez, Faezeh, et autres
Publié: (2025)

MoWM: Mixture-of-World-Models for Embodied Planning via Latent-to-Pixel Feature Modulation
par: Yu, Yangcheng, et autres
Publié: (2025)

Distracted Robot: How Visual Clutter Undermine Robotic Manipulation
par: Rasouli, Amir, et autres
Publié: (2025)

Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning
par: Źróbek, Karolina, et autres
Publié: (2026)

Hierarchical Temporal Logic Task and Motion Planning for Multi-Robot Systems
par: Wei, Zhongqi, et autres
Publié: (2025)

ResWM: Residual-Action World Model for Visual RL
par: Zhang, Jseen, et autres
Publié: (2026)

Robot Task Planning and Situation Handling in Open Worlds
par: Ding, Yan, et autres
Publié: (2022)

CKGConv: General Graph Convolution with Continuous Kernels
par: Ma, Liheng, et autres
Publié: (2024)

OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
par: Goswami, Raktim Gautam, et autres
Publié: (2025)

Plain Transformers Can be Powerful Graph Learners
par: Ma, Liheng, et autres
Publié: (2025)