Image de couverture de livre

PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Wenxuan, Zhao, Hang, Yu, Zhiyuan, Du, Yu, Zou, Qin, Hu, Ruizhen, Xu, Kai
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
par: Zhou, Wenxuan, et autres
Publié: (2023)

Deliberate Planning of 3D Bin Packing on Packing Configuration Trees
par: Zhao, Hang, et autres
Publié: (2025)

Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators
par: Baumeister, Fabian, et autres
Publié: (2024)

Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning
par: Jawale, Neel, et autres
Publié: (2024)

Learning Dual-arm Object Rearrangement for Cartesian Robots
par: Zhang, Shishun, et autres
Publié: (2024)

AdaPower: Specializing World Foundation Models for Predictive Manipulation
par: Huang, Yuhang, et autres
Publié: (2025)

BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation
par: Yu, Dongjie, et autres
Publié: (2024)

Compliant Non-Prehensile Pushing Manipulation
par: Cufino, Francesco, et autres
Publié: (2026)

AdaptPNP: Integrating Prehensile and Non-Prehensile Skills for Adaptive Robotic Manipulation
par: Zhu, Jinxuan, et autres
Publié: (2025)

World Model-based Perception for Visual Legged Locomotion
par: Lai, Hang, et autres
Publié: (2024)

Dexterous Non-Prehensile Manipulation for Ungraspable Object via Extrinsic Dexterity
par: Wang, Yuhan, et autres
Publié: (2025)

Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
par: Zhao, Yi, et autres
Publié: (2025)

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
par: Lei, Kun, et autres
Publié: (2025)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
par: Zhou, Hang, et autres
Publié: (2024)

ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation
par: Tang, Nan, et autres
Publié: (2025)

Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models
par: Mustafa, Abdullah, et autres
Publié: (2024)

Non-Prehensile Aerial Manipulation using Model-Based Deep Reinforcement Learning
par: Dimmig, Cora A., et autres
Publié: (2024)

Object-Informed Model Predictive Path Integral Control for Non-Prehensile Robot Manipulation
par: Raicevic, Nikola, et autres
Publié: (2026)

Push-Placement: A Hybrid Approach Integrating Prehensile and Non-Prehensile Manipulation for Object Rearrangement
par: Sadeghinejad, Majid, et autres
Publié: (2026)

Effective and Robust Non-Prehensile Manipulation via Persistent Homology Guided Monte-Carlo Tree Search
par: Vieira, Ewerton R., et autres
Publié: (2022)

FLARE: Robot Learning with Implicit World Modeling
par: Zheng, Ruijie, et autres
Publié: (2025)

CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence
par: Zhao, Yu, et autres
Publié: (2025)

MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation
par: Yu, Kelin, et autres
Publié: (2023)

DART: Learning-Enhanced Model Predictive Control for Dual-Arm Non-Prehensile Manipulation
par: Das, Autrio, et autres
Publié: (2026)

VFP: Variational Flow-Matching Policy for Multi-Modal Robot Manipulation
par: Zhai, Xuanran, et autres
Publié: (2025)

Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions
par: Ferrandis, Juan Del Aguila, et autres
Publié: (2024)

Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
par: Li, Huanyu, et autres
Publié: (2026)

DexTouch: Learning to Seek and Manipulate Objects with Tactile Dexterity
par: Lee, Kang-Won, et autres
Publié: (2024)

Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations
par: Fang, Shijie, et autres
Publié: (2025)

VLP: Vision-Language Preference Learning for Embodied Manipulation
par: Liu, Runze, et autres
Publié: (2025)

Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
par: Xu, Xiaomeng, et autres
Publié: (2025)

CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection
par: Cheng, Ziyang, et autres
Publié: (2026)

Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation
par: Zhao, Zhenyu, et autres
Publié: (2025)

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model
par: Gao, Chongkai, et autres
Publié: (2024)

Physics-informed Machine Learning for Static Friction Modeling in Robotic Manipulators Based on Kolmogorov-Arnold Networks
par: Wang, Yizheng, et autres
Publié: (2025)

Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
par: Zhang, Zhilong, et autres
Publié: (2026)

ActivePusher: Active Learning and Planning with Residual Physics for Nonprehensile Manipulation
par: Zhong, Zhuoyun, et autres
Publié: (2025)

Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
par: Turcato, Niccolò, et autres
Publié: (2025)

HACMan++: Spatially-Grounded Motion Primitives for Manipulation
par: Jiang, Bowen, et autres
Publié: (2024)