Cover Image

Pyramid-Monozone Synergistic Grasping Policy in Dense Clutter

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chenghao, Chong, Nak Young
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quality-focused Active Adversarial Policy for Safe Grasping in Human-Robot Interaction
by: Li, Chenghao, et al.
Published: (2025)

Multimodal Adversarial Quality Policy for Safe Grasping
by: Xie, Kunlin, et al.
Published: (2026)

An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement
by: Zhou, Peiwen, et al.
Published: (2024)

Adaptive Prior Scene-Object SLAM for Dynamic Environments
by: Zhang, Haolan, et al.
Published: (2025)

DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Densely Cluttered Environments
by: Xu, Lixin, et al.
Published: (2025)

Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
by: Wang, Yongliang, et al.
Published: (2024)

SR-SLAM: Scene-reliability Based RGB-D SLAM in Diverse Environments
by: Zhang, Haolan, et al.
Published: (2025)

AdaClearGrasp: Learning Adaptive Clearing for Zero-Shot Robust Dexterous Grasping in Densely Cluttered Environments
by: Chen, Zixuan, et al.
Published: (2026)

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes
by: Chen, Zeyuan, et al.
Published: (2025)

IL-SLAM: Intelligent Line-assisted SLAM Based on Feature Awareness for Dynamic Environments
by: Zhang, Haolan, et al.
Published: (2025)

Sim-Grasp: Learning 6-DOF Grasp Policies for Cluttered Environments Using a Synthetic Benchmark
by: Li, Juncheng, et al.
Published: (2024)

Self-Supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
by: Wang, Yongliang, et al.
Published: (2022)

Hybrid TD3: Overestimation Bias Analysis and Stable Policy Optimization for Hybrid Action Space
by: Tran, Thanh-Tuan, et al.
Published: (2026)

Con-DSO: Learning Short-Horizon Consistency Priors for RGB-D Direct Sparse Odometry
by: Zhang, Haolan, et al.
Published: (2026)

ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter
by: Qian, Yaoyao, et al.
Published: (2024)

Adaptive Grasping of Moving Objects in Dense Clutter via Global-to-Local Detection and Static-to-Dynamic Planning
by: Chen, Hao, et al.
Published: (2025)

Enhancing Social Robot Navigation with Integrated Motion Prediction and Trajectory Planning in Dynamic Human Environments
by: Canh, Thanh Nguyen, et al.
Published: (2024)

Online 3D Bin Packing with Fast Stability Validation and Stable Rearrangement Planning
by: Gao, Ziyan, et al.
Published: (2025)

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

Single-View Shape Completion for Robotic Grasping in Clutter
by: Kashyap, Abhishek, et al.
Published: (2025)

Collapse and Collision Aware Grasping for Cluttered Shelf Picking
by: Pathak, Abhinav, et al.
Published: (2025)

HMT-Grasp: A Hybrid Mamba-Transformer Approach for Robot Grasping in Cluttered Environments
by: Xiong, Songsong, et al.
Published: (2024)

AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter
by: Tang, Yingbo, et al.
Published: (2025)

INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
by: Zhang, Hanbo, et al.
Published: (2021)

DDGC: Generative Deep Dexterous Grasping in Clutter
by: Lundell, Jens, et al.
Published: (2021)

Corner-Grasp: Multi-Action Grasp Detection and Active Gripper Adaptation for Grasping in Cluttered Environments
by: Son, Yeong Gwang, et al.
Published: (2025)

GraspView: Active Perception Scoring and Best-View Optimization for Robotic Grasping in Cluttered Environments
by: Wang, Shenglin, et al.
Published: (2025)

A Collision-Aware Cable Grasping Method in Cluttered Environment
by: Zhang, Lei, et al.
Published: (2024)

A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter
by: Xu, Kechun, et al.
Published: (2023)

Object-Oriented Semantic Mapping for Reliable UAVs Navigation
by: Canh, Thanh Nguyen, et al.
Published: (2024)

Semantic Visual Simultaneous Localization and Mapping: A Survey on State of the Art, Challenges, and Future Directions
by: Canh, Thanh Nguyen, et al.
Published: (2025)

AeroGrab: A Unified Framework for Aerial Grasping in Cluttered Environments
by: Singh, Shivansh Pratap, et al.
Published: (2026)

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

CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
by: Zhang, Jiyao, et al.
Published: (2026)

GAPG: Geometry Aware Push-Grasping Synergy for Goal-Oriented Manipulation in Clutter
by: Xiao, Lijingze, et al.
Published: (2026)

6-DoF Grasp Detection in Clutter with Enhanced Receptive Field and Graspable Balance Sampling
by: Wang, Hanwen, et al.
Published: (2024)

Toward Integrating Semantic-aware Path Planning and Reliable Localization for UAV Operations
by: Canh, Thanh Nguyen, et al.
Published: (2024)

Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter
by: Brouwer, Dane, et al.
Published: (2024)

Harnessing the Synergy between Pushing, Grasping, and Throwing to Enhance Object Manipulation in Cluttered Scenarios
by: Kasaei, Hamidreza, et al.
Published: (2024)

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