:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Anlan, Chen, Zaishu, Song, Peili, Hong, Zhiqing, Wang, Haotian, Zhang, Desheng, He, Tian, Ding, Yi, Zhang, Daqing
Format:	Preprint
Published:	2026
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2604.11351
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
by: Sun, Xiatao, et al.
Published: (2023)

ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning
by: Luijkx, Jelle, et al.
Published: (2025)

Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning
by: Zhang, Xiaoyu, et al.
Published: (2024)

CubeDAgger: Interactive Imitation Learning for Dynamic Systems with Efficient yet Low-risk Interaction
by: Kobayashi, Taisuke
Published: (2025)

OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
by: Goswami, Raktim Gautam, et al.
Published: (2025)

Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
by: Xu, Xiaomeng, et al.
Published: (2025)

ResWM: Residual-Action World Model for Visual RL
by: Zhang, Jseen, et al.
Published: (2026)

PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
by: Li, Wenxuan, et al.
Published: (2025)

H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model
by: Huang, Jinbang, et al.
Published: (2026)

DDP-WM: Disentangled Dynamics Prediction for Efficient World Models
by: Yin, Shicheng, et al.
Published: (2026)

DAgger Diffusion Navigation: DAgger Boosted Diffusion Policy for Vision-Language Navigation
by: Shi, Haoxiang, et al.
Published: (2025)

Collaborate sim and real: Robot Bin Packing Learning in Real-world and Physical Engine
by: Zhang, Lidi, et al.
Published: (2025)

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training
by: Li, Yaxuan, et al.
Published: (2026)

ContactGaussian-WM: Learning Physics-Grounded World Model from Videos
by: Wang, Meizhong, et al.
Published: (2026)

iMoWM: Taming Interactive Multi-Modal World Model for Robotic Manipulation
by: Zhang, Chuanrui, et al.
Published: (2025)

AdaWM: Adaptive World Model based Planning for Autonomous Driving
by: Wang, Hang, et al.
Published: (2025)

Data-Efficient Multitask DAgger
by: Fu, Haotian, et al.
Published: (2025)

Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation
by: Lee, Sung-Wook, et al.
Published: (2024)

Dexterous Manipulation through Imitation Learning: A Survey
by: An, Shan, et al.
Published: (2025)

LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation
by: Huang, Yuhang, et al.
Published: (2025)

$τ_0$-WM: A Unified Video-Action World Model for Robotic Manipulation
by: Zhou, Pengfei, et al.
Published: (2026)

Wavelet Policy: Imitation Learning in the Scale Domain with World Prior Memory
by: Yang, Changchuan, et al.
Published: (2025)

Human-Robot Copilot for Data-Efficient Imitation Learning
by: Yan, Rui, et al.
Published: (2026)

An Efficient Metric for Data Quality Measurement in Imitation Learning
by: Sojib, Noushad, et al.
Published: (2026)

RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation
by: Jiang, Feng, et al.
Published: (2026)

PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning
by: Gao, Tian, et al.
Published: (2024)

JUICER: Data-Efficient Imitation Learning for Robotic Assembly
by: Ankile, Lars, et al.
Published: (2024)

Force-Aware Residual DAgger via Trajectory Editing for Precision Insertion with Impedance Control
by: Huang, Yiou, et al.
Published: (2026)

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
by: Zhou, Gaoyue, et al.
Published: (2024)

A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models
by: Wang, Yilin, et al.
Published: (2025)

CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
by: Ke, Liyiming, et al.
Published: (2023)

Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout
by: Chi, Haozhuang, et al.
Published: (2026)

Variable-Speed Teaching-Playback as Real-World Data Augmentation for Imitation Learning
by: Masuya, Nozomu, et al.
Published: (2024)

Beyond the Majority: Long-tail Imitation Learning for Robotic Manipulation
by: Zhu, Junhong, et al.
Published: (2026)

Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation
by: Lorang, Pierrick, et al.
Published: (2026)

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning
by: Yang, Yifan, et al.
Published: (2025)

Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning
by: Huang, Siyuan, et al.
Published: (2025)

Easy-IIL: Reducing Human Operational Burden in Interactive Imitation Learning via Assistant Experts
by: Zhang, Chengjie, et al.
Published: (2026)

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?
by: Mu, Tongzhou, et al.
Published: (2024)

IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
by: Hoque, Ryan, et al.
Published: (2024)