:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Xuehui, Cai, Fucheng, Wang, Meiyi, Fan, Xiaopeng, Soh, Harold
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Robotics
Online Access:	https://arxiv.org/abs/2605.20758
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Subtask-Aware Visual Reward Learning from Segmented Demonstrations
by: Kim, Changyeon, et al.
Published: (2025)

Aligning Text-to-Image Diffusion Models with Reward Backpropagation
by: Prabhudesai, Mihir, et al.
Published: (2023)

GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment
by: He, Haoyang, et al.
Published: (2025)

Video Diffusion Alignment via Reward Gradients
by: Prabhudesai, Mihir, et al.
Published: (2024)

FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation
by: Zhang, Zihui, et al.
Published: (2026)

Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality
by: Yang, Hsuan-Kung, et al.
Published: (2023)

Compositional Generative Modeling: A Single Model is Not All You Need
by: Du, Yilun, et al.
Published: (2024)

Aether: Geometric-Aware Unified World Modeling
by: Aether Team, et al.
Published: (2025)

A Low-Rank Method for Vision Language Model Hallucination Mitigation in Autonomous Driving
by: Long, Keke, et al.
Published: (2025)

ARM: Advantage Reward Modeling for Long-Horizon Manipulation
by: Mao, Yiming, et al.
Published: (2026)

IFG: Internet-Scale Guidance for Functional Grasping Generation
by: Liu, Ray Muxin, et al.
Published: (2025)

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
by: Tian, Ran, et al.
Published: (2024)

EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
by: Chang, Jianlei, et al.
Published: (2025)

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation
by: Zhang, Kaidong, et al.
Published: (2024)

Flame3D: Zero-shot Compositional Reasoning of 3D Scenes with Agentic Language Models
by: Bharadwaj, Sagar, et al.
Published: (2026)

DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
by: Fang, Xiaolin, et al.
Published: (2023)

Iterative Refinement Improves Compositional Image Generation
by: Jaiswal, Shantanu, et al.
Published: (2026)

RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
by: Qin, Yiran, et al.
Published: (2025)

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model
by: Jiang, Anqing, et al.
Published: (2025)

WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving
by: Xu, Yifang, et al.
Published: (2025)

Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
by: Ma, Xiao, et al.
Published: (2024)

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
by: Zhu, Haoyi, et al.
Published: (2024)

Pixel-level Scene Understanding in One Token: Visual States Need What-is-Where Composition
by: Lee, Seokmin, et al.
Published: (2026)

C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
by: Bauvin, Baptiste, et al.
Published: (2025)

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
by: Mohan, Rohit, et al.
Published: (2025)

FALCON: Future-Aware Learning with Contextual Object-Centric Pretraining for UAV Action Recognition
by: Xian, Ruiqi, et al.
Published: (2024)

ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment
by: Cai, Shaofei, et al.
Published: (2025)

Non-rigid Relative Placement through 3D Dense Diffusion
by: Cai, Eric, et al.
Published: (2024)

Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
by: Alakuijala, Minttu, et al.
Published: (2024)

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving
by: Gao, Haoxiang, et al.
Published: (2025)

World Simulation with Video Foundation Models for Physical AI
by: NVIDIA, et al.
Published: (2025)

FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation
by: Zeng, Huajian, et al.
Published: (2026)

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving
by: Wozniak, Maciej K., et al.
Published: (2025)

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
by: Gao, Shenyuan, et al.
Published: (2026)

Learning Visual Feature-Based World Models via Residual Latent Action
by: Zhang, Xinyu, et al.
Published: (2026)

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models
by: Wang, Xiyang, et al.
Published: (2026)

Cosmos World Foundation Model Platform for Physical AI
by: NVIDIA, et al.
Published: (2025)

Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
by: Gkanatsios, Nikolaos, et al.
Published: (2023)

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching
by: Han, Yu, et al.
Published: (2025)

A Survey on Efficient Vision-Language-Action Models
by: Yu, Zhaoshu, et al.
Published: (2025)