:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xia, Hongchi, Su, Entong, Memmel, Marius, Jain, Arhan, Yu, Raymond, Mbiziwo-Tiapo, Numfor, Farhadi, Ali, Gupta, Abhishek, Wang, Shenlong, Ma, Wei-Chiu
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Robotics
Online Access:	https://arxiv.org/abs/2504.15278
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emergent Dexterity via Diverse Resets and Large-Scale Reinforcement Learning
by: Yin, Patrick, et al.
Published: (2026)

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
by: Chen, Zoey, et al.
Published: (2024)

RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation
by: Su, Entong, et al.
Published: (2026)

STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
by: Memmel, Marius, et al.
Published: (2024)

ASID: Active Exploration for System Identification in Robotic Manipulation
by: Memmel, Marius, et al.
Published: (2024)

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
by: Park, Chan Young, et al.
Published: (2025)

Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos
by: Zhai, Albert J., et al.
Published: (2026)

ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning
by: Jin, Zhao, et al.
Published: (2025)

Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
by: Xia, Hongchi, et al.
Published: (2024)

Robot Learning with Super-Linear Scaling
by: Torne, Marcel, et al.
Published: (2024)

PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
by: Zhang, Jesse, et al.
Published: (2025)

HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation
by: Li, Yi, et al.
Published: (2025)

PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies
by: Jain, Arhan, et al.
Published: (2025)

SAGE: Scalable Agentic 3D Scene Generation for Embodied AI
by: Xia, Hongchi, et al.
Published: (2026)

Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning
by: Su, Entong, et al.
Published: (2024)

Opening Articulated Structures in the Real World
by: Gupta, Arjun, et al.
Published: (2024)

AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
by: Wang, Yuanfei, et al.
Published: (2025)

Procedural Generation of Articulated Simulation-Ready Assets
by: Joshi, Abhishek, et al.
Published: (2025)

PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations
by: Gupta, Anmol, et al.
Published: (2026)

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
by: Yan, Ge, et al.
Published: (2025)

Visual Sync: Multi-Camera Synchronization via Cross-View Object Motion
by: Liu, Shaowei, et al.
Published: (2025)

FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection
by: Zhang, Harry, et al.
Published: (2023)

Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach
by: Vivekanandan, Abhishek, et al.
Published: (2024)

SPARK: Sim-ready Part-level Articulated Reconstruction with VLM Knowledge
by: He, Yumeng, et al.
Published: (2025)

State Estimation and Environment Recognition for Articulated Structures via Proximity Sensors Distributed over the Whole Body
by: Iwao, Kengo, et al.
Published: (2024)

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects
by: Gupta, Anmol, et al.
Published: (2025)

Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs
by: Xia, Wenke, et al.
Published: (2023)

GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects
by: Yu, Qiaojun, et al.
Published: (2023)

Articulated Animal AI: An Environment for Animal-like Cognition in a Limbed Agent
by: Lucas, Jeremy, et al.
Published: (2024)

Learning to Build by Building Your Own Instructions
by: Walsman, Aaron, et al.
Published: (2024)

PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
by: Jiang, Hanxiao, et al.
Published: (2025)

Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins
by: Ning, Chuanruo, et al.
Published: (2025)

Convergent Functions, Divergent Forms
by: Jeon, Hyeonseong, et al.
Published: (2025)

GSAM: A Generalizable and Safe Robotic Framework for Articulated Object Manipulation
by: Shao, Beichen, et al.
Published: (2026)

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
by: Zhu, Chuning, et al.
Published: (2025)

Automatically Improving Simulation Physics for Articulated Objects
by: Pham, Anh-Quan
Published: (2026)

AO-Grasp: Articulated Object Grasp Generation
by: Morlans, Carlota Parés, et al.
Published: (2023)

Motion Primitives Planning For Center-Articulated Vehicles
by: Hu, Jiangpeng, et al.
Published: (2024)

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
by: Weng, Yijia, et al.
Published: (2024)

LidarDM: Generative LiDAR Simulation in a Generated World
by: Zyrianov, Vlas, et al.
Published: (2024)