Cover Image

GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Teli, Zheng, Jia, Wang, Zifan, Gao, Ziyao, Zhou, Jiaming, Liang, Junwei
Format:	Preprint
Published:	2025
Subjects:	Robotics Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping
by: Ma, Teli, et al.
Published: (2024)

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

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

Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization
by: Zhou, Jiaming, et al.
Published: (2025)

RoboPCA: Pose-centered Affordance Learning from Human Demonstrations for Robot Manipulation
by: Xiao, Zhanqi, et al.
Published: (2026)

Learning Precise Affordances from Egocentric Videos for Robotic Manipulation
by: Li, Gen, et al.
Published: (2024)

HRP: Human Affordances for Robotic Pre-Training
by: Srirama, Mohan Kumar, et al.
Published: (2024)

RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation
by: Kuang, Yuxuan, et al.
Published: (2024)

MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments
by: Zheng, Junwei, et al.
Published: (2023)

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation
by: Tang, Yihe, et al.
Published: (2025)

AffordanceGrasp-R1:Leveraging Reasoning-Based Affordance Segmentation with Reinforcement Learning for Robotic Grasping
by: Zhou, Dingyi, et al.
Published: (2026)

Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation
by: Ju, Yuanchen, et al.
Published: (2024)

End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy
by: Wang, Zifan, et al.
Published: (2025)

General Flow as Foundation Affordance for Scalable Robot Learning
by: Yuan, Chengbo, et al.
Published: (2024)

Afford-X: Generalizable and Slim Affordance Reasoning for Task-oriented Manipulation
by: Zhu, Xiaomeng, et al.
Published: (2025)

ManiVID-3D: Generalizable View-Invariant Reinforcement Learning for Robotic Manipulation via Disentangled 3D Representations
by: Li, Zheng, et al.
Published: (2025)

Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model
by: Wang, Hanqing, et al.
Published: (2025)

RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation
by: Nasiriany, Soroush, et al.
Published: (2024)

O$^3$Afford: One-Shot 3D Object-to-Object Affordance Grounding for Generalizable Robotic Manipulation
by: Tian, Tongxuan, et al.
Published: (2025)

GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation
by: Wang, Zifan, et al.
Published: (2024)

Information-driven Affordance Discovery for Efficient Robotic Manipulation
by: Mazzaglia, Pietro, et al.
Published: (2024)

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

You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations
by: Zhou, Huayi, et al.
Published: (2025)

AffordanceLLM: Grounding Affordance from Vision Language Models
by: Qian, Shengyi, et al.
Published: (2024)

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning
by: Chen, Hao, et al.
Published: (2026)

ActiveUMI: Robotic Manipulation with Active Perception from Robot-Free Human Demonstrations
by: Zeng, Qiyuan, et al.
Published: (2025)

Bridge Thinking and Acting: Unleashing Physical Potential of VLM with Generalizable Action Expert
by: Liu, Mingyu, et al.
Published: (2025)

Affordance RAG: Hierarchical Multimodal Retrieval with Affordance-Aware Embodied Memory for Mobile Manipulation
by: Korekata, Ryosuke, et al.
Published: (2025)

ManipGPT: Is Affordance Segmentation by Large Vision Models Enough for Articulated Object Manipulation?
by: Kim, Taewhan, et al.
Published: (2024)

NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
by: Xu, Ran, et al.
Published: (2024)

Panoramic Affordance Prediction
by: Zhang, Zixin, et al.
Published: (2026)

RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
by: Jiang, Yuming, et al.
Published: (2025)

Fast Visuomotor Policy for Robotic Manipulation
by: Jia, Jingkai, et al.
Published: (2025)

Towards Generalizable Robotic Manipulation in Dynamic Environments
by: Fang, Heng, et al.
Published: (2026)

Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action
by: Morin, Sacha, et al.
Published: (2025)

CompassAD: Intent-Driven 3D Affordance Grounding in Functionally Competing Objects
by: Li, Jingliang, et al.
Published: (2026)

Robot Learning from Human Videos: A Survey
by: Ma, Junyi, et al.
Published: (2026)

ST-$π$: Structured SpatioTemporal VLA for Robotic Manipulation
by: Ma, Chuanhao, et al.
Published: (2026)

RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete
by: Ji, Yuheng, et al.
Published: (2025)

Think Proprioceptively: Embodied Visual Reasoning for VLA Manipulation
by: Wang, Fangyuan, et al.
Published: (2026)