Copertina

Generating Future Observations to Estimate Grasp Success in Cluttered Environments

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gomes, Daniel Fernandes, Mou, Wenxuan, Paoletti, Paolo, Luo, Shan
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Robotics Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Graspness Discovery in Clutters for Fast and Accurate Grasp Detection
di: Wang, Chenxi, et al.
Pubblicazione: (2024)

DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes
di: Zhang, Jialiang, et al.
Pubblicazione: (2024)

Task-Oriented 6-DoF Grasp Pose Detection in Clutters
di: Wang, An-Lan, et al.
Pubblicazione: (2025)

GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes
di: Back, Seunghyeok, et al.
Pubblicazione: (2025)

Benchmarking the Effects of Object Pose Estimation and Reconstruction on Robotic Grasping Success
di: Burde, Varun, et al.
Pubblicazione: (2026)

VISO-Grasp: Vision-Language Informed Spatial Object-centric 6-DoF Active View Planning and Grasping in Clutter and Invisibility
di: Shi, Yitian, et al.
Pubblicazione: (2025)

OVGrasp: Open-Vocabulary Grasping Assistance via Multimodal Intent Detection
di: Hu, Chen, et al.
Pubblicazione: (2025)

Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes
di: Chen, Siang, et al.
Pubblicazione: (2024)

CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations
di: Wu, Zhiyuan, et al.
Pubblicazione: (2025)

Clutt3R-Seg: Sparse-view 3D Instance Segmentation for Language-grounded Grasping in Cluttered Scenes
di: Noh, Jeongho, et al.
Pubblicazione: (2026)

Grasp the Graph (GtG) 2.0: Ensemble of Graph Neural Networks for High-Precision Grasp Pose Detection in Clutter
di: Moghadam, Ali Rashidi, et al.
Pubblicazione: (2025)

Point Cloud-based Grasping for Soft Hand Exoskeleton
di: Hu, Chen, et al.
Pubblicazione: (2025)

Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks
di: Hosseini, Hamed, et al.
Pubblicazione: (2024)

A Modern Take on Visual Relationship Reasoning for Grasp Planning
di: Rabino, Paolo, et al.
Pubblicazione: (2024)

PUGS: Perceptual Uncertainty for Grasp Selection in Underwater Environments
di: Bagoren, Onur, et al.
Pubblicazione: (2025)

Spatial RoboGrasp: Generalized Robotic Grasping Control Policy
di: Huang, Yiqi, et al.
Pubblicazione: (2025)

GraspXL: Generating Grasping Motions for Diverse Objects at Scale
di: Zhang, Hui, et al.
Pubblicazione: (2024)

MultiGraspNet: A Multitask 3D Vision Model for Multi-gripper Robotic Grasping
di: Ortuno-Chanelo, Stephany, et al.
Pubblicazione: (2026)

UGG: Unified Generative Grasping
di: Lu, Jiaxin, et al.
Pubblicazione: (2023)

Object Pose and Shape Estimation for Grasping: Does it Work?
di: Karke, Pavan, et al.
Pubblicazione: (2026)

Simulation-Ready Cluttered Scene Estimation via Physics-aware Joint Shape and Pose Optimization
di: Huang, Wei-Cheng, et al.
Pubblicazione: (2026)

Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering
di: Jauhri, Snehal, et al.
Pubblicazione: (2023)

CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation
di: Chisari, Eugenio, et al.
Pubblicazione: (2023)

PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments
di: Ding, Kairui, et al.
Pubblicazione: (2024)

AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency
di: Fang, Hao-Shu, et al.
Pubblicazione: (2025)

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation
di: Li, Haosheng, et al.
Pubblicazione: (2024)

FastGrasp: Efficient Grasp Synthesis with Diffusion
di: Wu, Xiaofei, et al.
Pubblicazione: (2024)

Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping
di: Stracquadanio, Giuseppe, et al.
Pubblicazione: (2025)

Navigating Motion Agents in Dynamic and Cluttered Environments through LLM Reasoning
di: Zhao, Yubo, et al.
Pubblicazione: (2025)

SAM2Grasp: Resolve Multi-modal Grasping via Prompt-conditioned Temporal Action Prediction
di: Wu, Shengkai, et al.
Pubblicazione: (2025)

FunGrasp: Functional Grasping for Diverse Dexterous Hands
di: Huang, Linyi, et al.
Pubblicazione: (2024)

G-DexGrasp: Generalizable Dexterous Grasping Synthesis Via Part-Aware Prior Retrieval and Prior-Assisted Generation
di: Jian, Juntao, et al.
Pubblicazione: (2025)

Color-Pair Guided Robust Zero-Shot 6D Pose Estimation and Tracking of Cluttered Objects on Edge Devices
di: Yang, Xingjian, et al.
Pubblicazione: (2025)

VLM-GLoc: Vision-Language Model Enhanced Monte Carlo Localization for Robust Semantic Global Localization in Cluttered Quasi-Static Environments
di: Agrawal, Shivendra, et al.
Pubblicazione: (2026)

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
di: Calandra, Roberto, et al.
Pubblicazione: (2017)

Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views
di: Kashyap, Abhishek, et al.
Pubblicazione: (2025)

AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis
di: Wu, Xiaofei, et al.
Pubblicazione: (2026)

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control
di: Huang, Yiqi, et al.
Pubblicazione: (2025)

Dexonomy: Synthesizing All Dexterous Grasp Types in a Grasp Taxonomy
di: Chen, Jiayi, et al.
Pubblicazione: (2025)

ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
di: Iwase, Shun, et al.
Pubblicazione: (2025)