Cover Image

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Kaidong, Ren, Pengzhen, Lin, Bingqian, Lin, Junfan, Ma, Shikui, Xu, Hang, Liang, Xiaodan
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation
by: Zhang, Kaidong, et al.
Published: (2025)

Surfer: Progressive Reasoning with World Models for Robotic Manipulation
by: Ren, Pengzhen, et al.
Published: (2023)

VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation
by: Wen, Youpeng, et al.
Published: (2024)

Unseen from Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation
by: Wei, Ziming, et al.
Published: (2025)

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning
by: Lin, Bingqian, et al.
Published: (2024)

RoboPearls: Editable Video Simulation for Robot Manipulation
by: Tang, Tao, et al.
Published: (2025)

Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning
by: Lin, Bingqian, et al.
Published: (2024)

STORM: Search-Guided Generative World Models for Robotic Manipulation
by: Lin, Wenjun, et al.
Published: (2025)

ActionSink: Toward Precise Robot Manipulation with Dynamic Integration of Action Flow
by: Guo, Shanshan, et al.
Published: (2025)

ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment
by: Chen, Yuzhi, et al.
Published: (2026)

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation
by: Zhou, Kaichen, et al.
Published: (2026)

FUNCanon: Learning Pose-Aware Action Primitives via Functional Object Canonicalization for Generalizable Robotic Manipulation
by: Xu, Hongli, et al.
Published: (2025)

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
by: Zhou, Jiaming, et al.
Published: (2024)

MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation
by: Chen, Jiaqi, et al.
Published: (2024)

Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
by: Yao, Yuanqi, et al.
Published: (2025)

Correctable Landmark Discovery via Large Models for Vision-Language Navigation
by: Lin, Bingqian, et al.
Published: (2024)

Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation
by: Bai, Yongjie, et al.
Published: (2025)

ManipArena: Comprehensive Real-world Evaluation of Reasoning-Oriented Generalist Robot Manipulation
by: Sun, Yu, et al.
Published: (2026)

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
by: Nasiriany, Soroush, et al.
Published: (2024)

H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation
by: Bi, Hongzhe, et al.
Published: (2025)

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation
by: Ma, Jiahua, et al.
Published: (2026)

PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation
by: Zhu, Zhihao, et al.
Published: (2025)

PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly
by: Ma, Liang, et al.
Published: (2025)

Beyond Dense Futures: World Models as Structured Planners for Robotic Manipulation
by: Jin, Minghao, et al.
Published: (2026)

A Step Toward World Models: A Survey on Robotic Manipulation
by: Zhang, Peng-Fei, et al.
Published: (2025)

R3DP: Real-Time 3D-Aware Policy for Embodied Manipulation
by: Zhang, Yuhao, et al.
Published: (2026)

Causal World Modeling for Robot Control
by: Li, Lin, et al.
Published: (2026)

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation
by: Guo, Jun, et al.
Published: (2025)

Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation
by: Liao, Yue, et al.
Published: (2025)

WristWorld: Generating Wrist-Views via 4D World Models for Robotic Manipulation
by: Qian, Zezhong, et al.
Published: (2025)

Observe Then Act: Asynchronous Active Vision-Action Model for Robotic Manipulation
by: Wang, Guokang, et al.
Published: (2024)

MagicSeg: Open-World Segmentation Pretraining via Counterfactural Diffusion-Based Auto-Generation
by: Cai, Kaixin, et al.
Published: (2026)

AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots
by: Zhang, Likui, et al.
Published: (2026)

Manipulate-Anything: Automating Real-World Robots using Vision-Language Models
by: Duan, Jiafei, et al.
Published: (2024)

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
by: Barcellona, Leonardo, et al.
Published: (2024)

Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
by: Liang, Qiwei, et al.
Published: (2025)

MIND-V: Hierarchical World Model for Long-Horizon Robotic Manipulation with RL-based Physical Alignment
by: Zhang, Ruicheng, et al.
Published: (2025)

Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation
by: Ma, Teli, et al.
Published: (2024)

PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation
by: Huang, Wenlong, et al.
Published: (2026)

RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulation
by: Liu, Fanfan, et al.
Published: (2024)